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Leaked FBI email stresses need for warrantless surveillance of Americans

9 May 2024 at 15:35
Illustration of a human eye with digital components

Enlarge (credit: Getty Images | Yuichiro Chino)

A Federal Bureau of Investigation official recently urged employees to "look for ways" to conduct warrantless surveillance on US residents, an internal email obtained by Wired shows. FBI Deputy Director Paul Abbate's email was reportedly sent on April 20, the same day President Biden signed a bill that was criticized as a major expansion of warrantless surveillance under Section 702 of the Foreign Intelligence Surveillance Act (FISA).

Abbate's email seems to argue that FBI employees should make frequent use of warrantless surveillance on US people in order to justify the continued existence of the program. "To continue to demonstrate why tools like this are essential to our mission, we need to use them, while also holding ourselves accountable for doing so properly and in compliance with legal requirements," Abbate wrote, according to Wired.

Abbate oversees all FBI domestic and international investigative and intelligence activities. His email made reference to a new requirement that FBI personnel obtain prior approval from an FBI supervisor or attorney before making queries about US people.

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What Can Go Wrong When Police Use AI to Write Reports?

8 May 2024 at 11:52

Axon—the makers of widely-used police body cameras and tasers (and that also keeps trying to arm drones)—has a new product: AI that will write police reports for officers. Draft One is a generative large language model machine learning system that reportedly takes audio from body-worn cameras and converts it into a narrative police report that police can then edit and submit after an incident. Axon bills this product as the ultimate time-saver for police departments hoping to get officers out from behind their desks. But this technology could present new issues for those who encounter police, and especially those marginalized communities already subject to a disproportionate share of police interactions in the United States.

Responsibility and the Codification of (Intended or Otherwise) Inaccuracies

We’ve seen it before. Grainy and shaky police body-worn camera video in which an arresting officer shouts, “Stop resisting!” This phrase can lead to greater use of force by officers or come with enhanced criminal charges.  Sometimes, these shouts may be justified. But as we’ve seen time and again, the narrative of someone resisting arrest may be a misrepresentation. Integrating AI into narratives of police encounters might make an already complicated system even more ripe for abuse.

If the officer says aloud in a body camera video, “the suspect has a gun” how would that translate into the software’s narrative final product?

The public should be skeptical of a language algorithm's ability to accurately process and distinguish between the wide range of languages, dialects, vernacular, idioms and slang people use. As we've learned from watching content moderation develop online, software may have a passable ability to capture words, but it often struggles with content and meaning. In an often tense setting such as a traffic stop, AI mistaking a metaphorical statement for a literal claim could fundamentally change how a police report is interpreted.

Moreover, as with all so-called artificial intelligence taking over consequential tasks and decision-making, the technology has the power to obscure human agency. Police officers who deliberately speak with mistruths or exaggerations to shape the narrative available in body camera footage now have even more of a veneer of plausible deniability with AI-generated police reports. If police were to be caught in a lie concerning what’s in the report, an officer might be able to say that they did not lie: the AI simply mistranscribed what was happening in the chaotic video.

It’s also unclear how this technology will work in action. If the officer says aloud in a body camera video, “the suspect has a gun” how would that translate into the software’s narrative final product? Would it interpret that by saying “I [the officer] saw the suspect produce a weapon” or “The suspect was armed”? Or would it just report what the officer said: “I [the officer] said aloud that the suspect has a gun”? Interpretation matters, and the differences between them could have catastrophic consequences for defendants in court.

Review, Transparency, and Audits

The issue of review, auditing, and transparency raises a number of questions. Although Draft One allows officers to edit reports, how will it ensure that officers are adequately reviewing for accuracy rather than rubber-stamping the AI-generated version? After all, police have been known to arrest people based on the results of a match by face recognition technology without any followup investigation—contrary to vendors’ insistence that such results should be used as an investigative lead and not a positive identification.

Moreover, if the AI-generated report is incorrect, can we trust police will contradict that version of events if it's in their interest to maintain inaccuracies? On the flip side, might AI report writing go the way of AI-enhanced body cameras? In other words, if the report consistently produces a narrative from audio that police do not like, will they edit it, scrap it, or discontinue using the software altogether?

And what of external reviewers’ ability to access these reports? Given police departments’ overly intense secrecy, combined with a frequent failure to comply with public records laws, how can the public, or any external agency, be able to independently verify or audit these AI-assisted reports? And how will external reviewers know which portions of the report are generated by AI vs. a human?

Police reports, skewed and biased as they often are, codify the police department’s memory. They reveal not necessarily what happened during a specific incident, but what police imagined to have happened, in good faith or not. Policing, with its legal power to kill, detain, or ultimately deny people’s freedom, is too powerful an institution to outsource its memory-making to technologies in a way that makes officers immune to critique, transparency, or accountability.

We still don’t understand how one human apparently got bird flu from a cow

By: Beth Mole
3 May 2024 at 17:26
Holstein dairy cows in a freestall barn.

Enlarge / Holstein dairy cows in a freestall barn. (credit: Getty | )

The US Department of Agriculture this week posted an unpublished version of its genetic analysis into the spillover and spread of bird flu into US dairy cattle, offering the most complete look yet at the data state and federal investigators have amassed in the unexpected and worrisome outbreak—and what it might mean.

The preprint analysis provides several significant insights into the outbreak—from when it may have actually started, just how much transmission we're missing, stunning unknowns about the only human infection linked to the outbreak, and how much the virus continues to evolve in cows. The information is critical as flu experts fear the outbreak is heightening the ever-present risk that this wily flu virus will evolve to spread among humans and spark a pandemic.

But, the information hasn't been easy to come by. Since March 25—when the USDA confirmed for the first time that a herd of US dairy cows had contracted the highly pathogenic avian influenza H5N1 virus—the agency has garnered international criticism for not sharing data quickly or completely. On April 21, the agency dumped over 200 genetic sequences into public databases amid pressure from outside experts. However, many of those sequences lack descriptive metadata, which normally contains basic and key bits of information, like when and where the viral sample was taken. Outside experts don't have that crucial information, making independent analyses frustratingly limited. Thus, the new USDA analysis—which presumably includes that data—offers the best yet glimpse of the complete information on the outbreak.

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Kaiser Permanente Data Breach Impacts 13.4 Million Patients

29 April 2024 at 10:43

US healthcare giant is warning millions of current and former patients that their personal information was exposed to third-party advertisers.

The post Kaiser Permanente Data Breach Impacts 13.4 Million Patients appeared first on SecurityWeek.

How is One of America's Biggest Spy Agencies Using AI? We're Suing to Find Out.

pAI is nearly impossible for us to escape these days. a href=https://www.forbes.com/sites/kalinabryant/2024/03/14/how-ai-is-reshaping-social-media-platforms-and-5-tips-for-success/Social media/a companies, a href=https://www.wired.com/story/student-papers-generative-ai-turnitin/schools/a, a href=https://www.npr.org/2022/05/12/1098601458/artificial-intelligence-job-discrimination-disabilitiesworkplaces/a, and even a href=https://www.theatlantic.com/technology/archive/2024/04/dating-apps-are-starting-crack/678022/dating apps/a are all trying to harness AI to remake their services and platforms, and AI can impact our lives in ways large and small. While many of these efforts are just getting underway — and often raise significant civil rights issues — you might be surprised to learn that America’s most prolific spy agency has for years been one of AI’s biggest adopters./p pThe National Security Agency (NSA) is the self-described a href=https://www.nsa.gov/leader/a among U.S. intelligence agencies racing to develop and deploy AI. It’s also the agency that sweeps up vast quantities of our phone calls, text messages, and internet communications as it conducts a href=https://www.aclu.org/news/national-security/five-things-to-know-about-nsa-mass-surveillance-and-the-coming-fight-in-congressmass surveillance/a around the world. In recent years, AI has transformed many of the NSA’s daily operations: the agency uses AI tools to help a href=https://perma.cc/97GE-4ULZgather/a information on foreign governments, a href=https://fedtechmagazine.com/article/2022/10/intelligence-community-developing-new-uses-ai-perfconaugment/a human language processing, a href=https://www.wsj.com/articles/ai-helps-u-s-intelligence-track-hackers-targeting-critical-infrastructure-944553facomb/a through networks for cybersecurity threats, and even monitor its own analysts as they do their jobs./p pUnfortunately, that’s about all we know. As the NSA a href=https://perma.cc/97GE-4ULZintegrates/a AI into some of its most profound decisions, it’s left us in the dark about how it uses AI and what safeguards, if any, are in place to protect everyday Americans and others around the globe whose privacy hangs in the balance./p pThat’s why we’re suing to find out what the NSA is hiding. Today, the ACLU filed a href=https://www.aclu.org/documents/nsa-ai-foia-complainta lawsuit/a under the Freedom of Information Act to compel the release of recently completed studies, roadmaps, and reports that explain how the NSA is using AI and what impact it is having on people’s civil rights and civil liberties. Indeed, although much of the NSA’s surveillance is aimed at people overseas, those activities increasingly ensnare the sensitive communications and data of people in the United States as well./p pBehind closed doors, the NSA has been studying the effects of AI on its operations for several years. A year-and-a-half ago, the Inspectors General at the Department of Defense and the NSA issued a a href=https://perma.cc/A4L3-EC4Kjoint report/a examining how the NSA has integrated AI into its operations. NSA officials have also publicly lauded the completion of a href=https://perma.cc/F4ZT-PNTBstudies/a, a href=https://perma.cc/EQB4-XDVCroadmaps/a, and a href=https://perma.cc/SXP8-4APAcongressionally-mandated plans/a on the agency’s use of novel technologies like generative AI in its surveillance activities. But despite transparency pledges, none of those documents have been released to the public, not even in redacted form./p pThe government’s secrecy flies in the face of its own public commitments to transparency when it comes to AI. The Office of the Director of National Intelligence, which oversees the NSA and more than a dozen other intelligence agencies, has touted transparency as a core principle in its a href=https://www.dni.gov/files/ODNI/documents/AI_Ethics_Framework_for_the_Intelligence_Community_10.pdfArtificial Intelligence Ethics Framework for the Intelligence Community/a. And a href=https://trumpwhitehouse.archives.gov/presidential-actions/executive-order-promoting-use-trustworthy-artificial-intelligence-federal-government/#:~:text=Certain%20agencies%20have%20already%20adopted,National%20Intelligence's%20Principles%20of%20Artificialadministrations/a a href=https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/from both parties/a have reiterated that AI must be used in a manner that builds public confidence while also advancing principles of equity and justice. By failing to disclose the kinds of critical information sought in our lawsuit, the government is failing its own ethical standards: it is rapidly deploying powerful AI systems without public accountability or oversight./p pThe government’s lack of transparency is especially concerning given the dangers that AI systems pose for people’s civil rights and civil liberties. As we’ve already seen in areas like a href=https://www.aclu.org/news/privacy-technology/how-face-recognition-fuels-racist-systems-of-policing-and-immigration-and-why-congress-must-act-nowlaw enforcement/a and a href=https://www.aclu.org/news/racial-justice/how-artificial-intelligence-might-prevent-you-from-getting-hiredemployment/a, using algorithmic systems to gather and analyze intelligence can compound privacy intrusions and perpetuate discrimination. AI systems may amplify biases already embedded in training data or rely on flawed algorithms, and they may have higher error rates when applied to people of color and marginalized communities. For example, built-in bias or flawed intelligence algorithms may lead to additional surveillance and investigation of individuals, exposing their lives to wide-ranging government scrutiny. In the most extreme cases, bad tips could be passed along to agencies like Department of Homeland Security or the FBI, leading to immigration consequences or even wrongful arrests./p pAI tools have the potential to expand the NSA’s surveillance dragnet more than ever before, expose private facts about our lives through vast data-mining activities, and automate decisions that once relied on human expertise and judgment. These are dangerous, powerful tools, as the NSA’s own ethical principles recognize. The public deserves to know how the government is using them./p div class=mp-md wp-link div class=wp-link__img-wrapper a href=https://www.aclu.org/news/national-security/the-government-is-racing-to-deploy-ai-but-at-what-cost-to-our-freedom target=_blank tabindex=-1 img width=1200 height=628 src=https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76.jpg class=attachment-4x3_full size-4x3_full alt= decoding=async loading=lazy srcset=https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76.jpg 1200w, https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76-768x402.jpg 768w, https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76-400x209.jpg 400w, https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76-600x314.jpg 600w, https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76-800x419.jpg 800w, https://www.aclu.org/wp-content/uploads/2024/04/0c811044641e2e113a33ba4134743c76-1000x523.jpg 1000w sizes=(max-width: 1200px) 100vw, 1200px / /a /div div class=wp-link__title a href=https://www.aclu.org/news/national-security/the-government-is-racing-to-deploy-ai-but-at-what-cost-to-our-freedom target=_blank The Government is Racing to Deploy AI, But at What Cost to Our Freedom? /a /div div class=wp-link__description a href=https://www.aclu.org/news/national-security/the-government-is-racing-to-deploy-ai-but-at-what-cost-to-our-freedom target=_blank tabindex=-1 p class=is-size-7-mobile is-size-6-tabletOur FOIA request seeks to uncover information about what types of AI tools intelligence agencies are deploying, what rules constrain their use, and.../p /a /div div class=wp-link__source p-4 px-6-tablet a href=https://www.aclu.org/news/national-security/the-government-is-racing-to-deploy-ai-but-at-what-cost-to-our-freedom target=_blank tabindex=-1 p class=is-size-7Source: American Civil Liberties Union/p /a /div /div

EFF Submits Comments on FRT to Commission on Civil Rights

12 April 2024 at 18:06

Our faces are often exposed and, unlike passwords or pin numbers, cannot be remade. Governments and businesses, often working in partnership, are increasingly using our faces to track our whereabouts, activities, and associations. This is why EFF recently submitted comments to the U.S. Commission on Civil Rights, which is preparing a report on face recognition technology (FRT).   

In our submission, we reiterated our stance that there should be a ban on governmental use of FRT and strict regulations on private use because it: (1) is not reliable enough to be used in determinations affecting constitutional and statutory rights or social benefits; (2) is a menace to social justice as its errors are far more pronounced when applied to people of color, members of the LGBTQ+ community, and other marginalized groups; (3) threatens privacy rights; (4) chills and deters expression; and (5) creates information security risks.

Despite these grave concerns, FRT is being used by the government and law enforcement agencies with increasing frequency, and sometimes with devastating effects. At least one Black woman and five Black men have been wrongfully arrested due to misidentification by FRT: Porcha Woodruff, Michael Oliver, Nijeer Parks, Randal Reid, Alonzo Sawyer, and Robert Williams. And Harvey Murphy Jr., a white man, was wrongfully arrested due to FRT misidentification, and then sexually assaulted while in jail.

Even if FRT was accurate, or at least equally inaccurate across demographics, it would still severely impact our privacy and security. We cannot change our face, and we expose it to the mass surveillance networks already in place every day we go out in public. But doing that should not be license for the government or private entities to make imprints of our face and retain that data, especially when that data may be breached by hostile actors.

The government should ban its own use of FRT, and strictly limit private use, to protect us from the threats posed by FRT. 

Surveillance by the New Microsoft Outlook App

4 April 2024 at 07:07

The ProtonMail people are accusing Microsoft’s new Outlook for Windows app of conducting extensive surveillance on its users. It shares data with advertisers, a lot of data:

The window informs users that Microsoft and those 801 third parties use their data for a number of purposes, including to:

  • Store and/or access information on the user’s device
  • Develop and improve products
  • Personalize ads and content
  • Measure ads and content
  • Derive audience insights
  • Obtain precise geolocation data
  • Identify users through device scanning

Commentary.

Podcast Episode: About Face (Recognition)

26 March 2024 at 03:05

Is your face truly your own, or is it a commodity to be sold, a weapon to be used against you? A company called Clearview AI has scraped the internet to gather (without consent) 30 billion images to support a tool that lets users identify people by picture alone. Though it’s primarily used by law enforcement, should we have to worry that the eavesdropper at the next restaurant table, or the creep who’s bothering you in the bar, or the protestor outside the abortion clinic can surreptitiously snap a pic of you, upload it, and use it to identify you, where you live and work, your social media accounts, and more?

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(You can also find this episode on the Internet Archive and on YouTube.)

New York Times reporter Kashmir Hill has been writing about the intersection of privacy and technology for well over a decade; her book about Clearview AI’s rise and practices was published last fall. She speaks with EFF’s Cindy Cohn and Jason Kelley about how face recognition technology’s rapid evolution may have outpaced ethics and regulations, and where we might go from here. 

In this episode, you’ll learn about: 

  • The difficulty of anticipating how information that you freely share might be used against you as technology advances. 
  • How the all-consuming pursuit of “technical sweetness” — the alluring sensation of neatly and functionally solving a puzzle — can blind tech developers to the implications of that tech’s use. 
  • The racial biases that were built into many face recognition technologies.  
  • How one state's 2008 law has effectively curbed how face recognition technology is used there, perhaps creating a model for other states or Congress to follow. 

Kashmir Hill is a New York Times tech reporter who writes about the unexpected and sometimes ominous ways technology is changing our lives, particularly when it comes to our privacy. Her book, “Your Face Belongs To Us” (2023), details how Clearview AI gave facial recognition to law enforcement, billionaires, and businesses, threatening to end privacy as we know it. She joined The Times in 2019 after having worked at Gizmodo Media Group, Fusion, Forbes Magazine and Above the Law. Her writing has appeared in The New Yorker and The Washington Post. She has degrees from Duke University and New York University, where she studied journalism. 

Resources: 

What do you think of “How to Fix the Internet?” Share your feedback here. 

Transcript

KASHMIR HILL
Madison Square Garden, the big events venue in New York City, installed facial recognition technology in 2018, originally to address security threats. You know, people they were worried about who'd been violent in the stadium before, or Or perhaps the Taylor Swift model of, you know, known stalkers wanting to identify them if they're trying to come into concerts.

But then in the last year, they realized, well, we've got this system set up. This is a great way to keep out our enemies, people that the owner, James Dolan, doesn't like, namely lawyers who work at firms that have sued him and cost him a lot of money.

And I saw this, I actually went to a Rangers game with a banned lawyer and it's, you know, thousands of people streaming into Madison Square Garden. We walk through the door, put our bags down on the security belt, and by the time we go to pick them up, a security guard has approached us and told her she's not welcome in.

And yeah, once you have these systems of surveillance set up, it goes from security threats to just keeping track of people that annoy you. And so that is the challenge of how do we control how these things get used?

CINDY COHN
That's Kashmir Hill. She's a tech reporter for the New York Times, and she's been writing about the intersection of privacy and technology for well over a decade.

She's even worked with EFF on several projects, including security research into pregnancy tracking apps. But most recently, her work has been around facial recognition and the company Clearview AI.

Last fall, she published a book about Clearview called Your Face Belongs to Us. It's about the rise of facial recognition technology. It’s also about a company that was willing to step way over the line. A line that even the tech giants abided by. And it did so in order to create a facial search engine of millions of innocent people to sell to law enforcement.

I'm Cindy Cohn, the Executive Director of the Electronic Frontier Foundation.

JASON KELLEY
And I'm Jason Kelley, EFF’s Activism Director. This is our podcast series How to Fix the Internet.

CINDY COHN
The idea behind this show is that we're trying to make our digital lives BETTER. At EFF we spend a lot of time envisioning the ways things can go wrong — and jumping into action to help when things DO go wrong online. But with this show, we're trying to give ourselves a vision of what it means to get it right.

JASON KELLEY
It's easy to talk about facial recognition as leading towards this sci-fi dystopia, but many of us use it in benign - and even helpful - ways every day. Maybe you just used it to unlock your phone before you hit play on this podcast episode.

Most of our listeners probably know that there's a significant difference between the data that's on your phone and the data that Clearview used, which was pulled from the internet, often from places that people didn't expect. Since Kash has written several hundred pages about what Clearview did, we wanted to start with a quick explanation.

KASHMIR HILL
Clearview AI scraped billions of photos from the internet -

JASON KELLEY
Billions with a B. Sorry to interrupt you, just to make sure people hear that.

KASHMIR HILL
Billions of photos from, the public internet and social media sites like Facebook, Instagram, Venmo, LinkedIn. At the time I first wrote about them in January, 2020, they had 3 billion faces in their database.

They now have 30 billion and they say that they're adding something like 75 million images every day. So a lot of faces, all collected without anyone's consent and, you know, they have paired that with a powerful facial recognition algorithm so that you can take a photo of somebody, you know, upload it to Clearview AI and it will return the other places on the internet where that face appears along with a link to the website where it appears.

So it's a way of finding out who someone is. You know, what their name is, where they live, who their friends are, finding their social media profiles, and even finding photos that they may not know are on the internet, where their name is not linked to the photo but their face is there.

JASON KELLEY

Wow. Obviously that's terrifying, but is there an example you might have of a way that this affects the everyday person. Could you talk about that a little bit?

KASHMIR HILL

Yeah, so with a tool like this, um, you know, if you were out at a restaurant, say, and you're having a juicy conversation, whether about your friends or about your work, and it kind of catches the attention of somebody sitting nearby, you assume you're anonymous. With a tool like this, they could take a photo of you, upload it, find out who you are, where you work, and all of a sudden understand the context of the conversation. You know, a person walking out of an abortion clinic, if there's protesters outside, they can take a photo of that person. Now they know who they are and the health services they may have gotten.

I mean, there's all kinds of different ways. You know, you go to a bar and you're talking to somebody. They're a little creepy. You never want to talk to them again. But they take your picture. They find out your name. They look up your social media profiles. They know who you are.
On the other side, you know, I do hear about people who think about this in a positive context, who are using tools like this to research people they meet on dating sites, finding out if they are who they say they are, you know, looking up their photos.

It's complicated, facial recognition technology. There are positive uses, there are negative uses. And right now we're trying to figure out what place this technology should have in our lives and, and how authorities should be able to use it.

CINDY COHN
Yeah, I think Jason's, like, ‘this is creepy’ is very widely shared, I think, by a lot of people. But you know the name of this is How to Fix the Internet. I would love to hear your thinking about how facial recognition might play a role in our lives if we get it right. Like, what would it look like if we had the kinds of law and policy and technological protections that would turn this tool into something that we would all be pretty psyched about on the main rather than, you know, worried about on the main.

KASHMIR HILL
Yeah, I mean, so some activists feel that facial recognition technology should be banned altogether. Evan Greer at Fight for the Future, you know, compares it to nuclear weapons and that there's just too many possible downsides that it's not worth the benefits and it should be banned altogether. I kind of don't think that's likely to happen just because I have talked to so many police officers who really appreciate facial recognition technology, think it's a very powerful tool that when used correctly can be such an important part of their tool set. I just don't see them giving it up.

But when I look at what's happening right now, you have these companies like not just Clearview AI, but PimEyes, Facecheck, Eye-D. There's public face search engines that exist now. While Clearview is limited to police use, these are on the internet. Some are even free, some require a subscription.  And right now in the U. S., we don't have much of a legal infrastructure, certainly at the national level about whether they can do that or not. But there's been a very different approach in Europe where they say, that citizens shouldn't be included in these databases without their consent. And, you know, after I revealed the existence of Clearview AI, privacy regulators in Europe, in Canada, in Australia, investigated Clearview AI and said that what it had done was illegal, that they needed people's consent to put them in the databases.

So that's one way to handle facial recognition technology is you can't just throw everybody's faces into a database and make them searchable, you need to get permission first. And I think that is one effective way of handling it. Privacy regulators actually inspired by Clearview AA actually issued a warning to other AI companies saying, hey, just because there's all these, there's all this information that's public on the internet, it doesn't mean that you're entitled to it. There can still be a personal interest in the data, and you may violate our privacy laws by collecting this information.

We haven't really taken that approach, in the U. S. as much, with the exception of Illinois, which has this really strong law that's relevant to facial recognition technology. When we have gotten privacy laws at the state level, it says you have the right to get out of the databases. So in California, for example, you can go to Clearview AI and say, hey, I want to see my file. And if you don't like what they have on you, you can ask them to delete you. So that's a very different approach, uh, to try to give people some rights over their face. And California also requires that companies say how many of these requests they get per year. And so I looked and in the last two years fewer than a thousand Californians have asked to delete themselves from Clearview's database and you know, California's population is very much bigger than that, I think, you know 34 million people or so and so I'm not sure how effective those laws are at protecting people at large.

CINDY COHN
Here’s what I hear from that. Our world where we get it right is one where we have a strong legal infrastructure protecting our privacy. But it’s also one where if the police want something, it doesn’t mean that they get it. It’s a world where control of our faces and faceprints rests with us, and any use needs to have our permission. That’s the Illinois law called BIPA - the Biometric Privacy Act, or the foreign regulators you mention.
It also means that a company like Venmo cannot just put our faces onto the public internet, and a company like Clearview cannot just copy them. Neither can happen without our affirmative permission.

I think of technologies like this as needed to have good answers to two questions. Number one, who is the technology serving - who benefits if the technology gets it right? And number two, who is harmed if the technology DOESN’T get it right?

For police use of facial recognition, the answers to both of these questions are bad. Regular people don’t benefit from the police having their faces in what has been called a perpetual line-up. And if the technology doesn’t work, people can pay a very heavy price of being wrongly arrested - as you document in your book, Kash.

But for facial recognition technology allowing me to unlock my phone and manipulate apps like digital credit cards, I benefit by having an easy way to lock and use my phone. And if the technology doesn’t work, I just use my password, so it’s not catastrophic. But how does that compare to your view of a fixed facial recognition world, Kash?

KASHMIR HILL
Well, I'm not a policymaker. I am a journalist. So I kind of see my job as, as here's what has happened. Here's how we got here. And here's how different, you know, different people are dealing with it and trying to solve it. One thing that's interesting to me, you brought up Venmo, is that Venmo was one of the very first places that the kind of technical creator of Clearview AI, Hoan Ton-That, one of the first places he talked about getting faces from.

And this was interesting to me as a privacy reporter because I very much remembered this criticism that the privacy community had for Venmo that, you know, when you've signed up for the social payment site, they made everything public by default, all of your transactions, like who you were sending money to.

And there was such a big pushback saying, Hey, you know, people don't realize that you're making this public by default. They don't realize that the whole world can see this. They don't understand, you know, how that could come back to be used against them. And, you know, some of the initial uses were, you know, people who were sending each other Venmo transactions and like putting syringes in it and you know, cannabis leaves and how that got used in criminal trials.

But what was interesting with Clearview is that Venmo actually had this iPhone on their homepage on Venmo.com and they would show real transactions that were happening on the network. And it included people's profile photos and a link to their profile. So Hoan Ton-That sent this scraper to Venmo.com and it would just, he would just hit it every few seconds and pull down the photos and the links to the profile photos and he got, you know, millions of faces this way, and he says he remembered that the privacy people were kind of annoyed about Venmo making everything public, and he said it took them years to change it, though.

JASON KELLEY
We were very upset about this.

CINDY COHN
Yeah, we had them on our, we had a little list called Fix It Already in 2019. It wasn't a little, it was actually quite long for like kind of major privacy and other problems in tech companies. And the Venmo one was on there, right, in 2019, I think was when we launched it. In 2021, they fixed it, but that was right in between there was right when all that scraping happened.

KASHMIR HILL
And Venmo is certainly not alone in terms of forcing everyone to make their profile photos public, you know, Facebook did that as well, but it was interesting when I exposed Clearview AI and said, you know, here are some of the companies that they scraped from Venmo and also Facebook and LinkedIn, Google sent Clearview cease and desist letters and said, Hey, you know, you, you violated our terms of service in collecting this data. We want you to delete it, and people often ask, well, then what happened after that? And as far as I know, Clearview did not change their practices. And these companies never did anything else beyond the cease and desist letters.

You know, they didn't sue Clearview. Um, and so it's clear that the companies alone are not going to be protecting our data, and they've pushed us to, to be more public and now that is kind of coming full circle in a way that I don't think people, when they are putting their photos on the internet were expecting this to happen.

CINDY COHN
I think we should start from the source, which is, why are they gathering all these faces in the first place, the companies? Why are they urging you to put your face next to your financial transactions? There's no need for your face to be next to a financial transaction, even in social media and other kinds of situations, there's no need for it to be public. People are getting disempowered because there's a lack of privacy protection to begin with, and the companies are taking advantage of that, and then turning around and pretending like they're upset about scraping, which I think is all they did with the Clearview thing.

Like there's problems all the way down here. But I don't think that, from our perspective, the answer isn't to make scraping, which is often over limited, even more limited. The answer is to try to give people back control over these images.

KASHMIR HILL
And I get it, I mean, I know why Venmo wants photos. I mean, when I use Venmo and I'm paying someone for the first time, I want to see that this is the face of the person I know before I send it to, you know, @happy, you know, nappy on Venmo. So it's part of the trust, but it does seem like you could have a different architecture. So it doesn't necessarily mean that you're showing your face to the entire, you know, world. Maybe you could just be showing it to the people that you're doing transactions with.

JASON KELLEY
What we were pushing Venmo to do was what you mentioned was make it NOT public by default. And what I think is interesting about that campaign is that at the time, we were worried about one thing, you know, that the ability to sort of comb through these financial transactions and get information from people. We weren't worried about, or at least I don't think we talked much about, the public photos being available. And it's interesting to me that there are so many ways that public defaults, and that privacy settings can impact people that we don't even know about yet, right?

KASHMIR HILL
I do think this is one of the biggest challenges for people trying to protect their privacy is, it's so hard to anticipate how information that, you know, kind of freely give at one point might be used against you or weaponized in the future as technology improves.

And so I do think that's really challenging. And I don't think that most people, when they're kind of freely putting Photos on the internet, their face on the internet were anticipating that the internet would be reorganized to be searchable by face.

So that's where I think regulating the use of the information can be very powerful. It's kind of protecting people from the mistakes they've made in the past.

JASON KELLEY
Let’s take a quick moment to say thank you to our sponsor. “How to Fix the Internet” is supported by The Alfred P. Sloan Foundation’s Program in Public Understanding of Science and Technology. Enriching people’s lives through a keener appreciation of our increasingly technological world and portraying the complex humanity of scientists, engineers, and mathematicians. And now back to our conversation with Kashmir Hill.

CINDY COHN
So a supporter asked a question that I'm curious about too. You dove deep into the people who built these systems, not just the Clearview people, but people before them. And what did you find? Are these like Dr. Evil, evil geniuses who intended to, you know, build a dystopia? Or are there people who were, you know, good folks trying to do good things who either didn't see the consequences of what they're looking at or were surprised at the consequences of what they were building

KASHMIR HILL
The book is about Clearview AI, but it's also about all the people that kind of worked to realize facial recognition technology over many decades.
The government was trying to get computers to be able to recognize human faces in Silicon Valley before it was even called Silicon Valley. The CIA was, you know, funding early engineers there to try to do it with those huge computers which, you know, in the early 1960s weren't able to do it very well.

But I kind of like went back and asked people that were working on this for so many years when it was very clunky and it did not work very well, you know, were you thinking about what you are working towards? A kind of a world in which everybody is easily tracked by face, easily recognizable by face. And it was just interesting. I mean, these people working on it in the ‘70s, ‘80s, ‘90s, they just said it was impossible to imagine that because the computers were so bad at it, and we just never really thought that we'd ever reach this place where we are now, where we're basically, like, computers are better at facial recognition than humans.

And so this was really striking to me, that, and I think this happens a lot, where people are working on a technology and they just want to solve that puzzle, you know, complete that technical challenge, and they're not thinking through the implications of what if they're successful. And so this one, a philosopher of science I talked to, Heather Douglas, called this technical sweetness.

CINDY COHN
I love that term.

KASHMIR HILL
This kind of motivation where it's just like, I need to solve this, the kind of Jurassic Park, the Jurassic Park dilemma where it's like,it'd be really cool if we brought the dinosaurs back.

So that was striking to me and all of these people that were working on this, I don't think any of them saw something like Clearview AI coming and when I first heard about Clearview, this startup that had scraped the entire internet and kind of made it searchable by face. I was thinking there must be some, you know, technological mastermind here who was able to do this before the big companies, the Facebooks, the Googles. How did they do it first?

And what I would come to figure out is that. You know, what they did was more of an ethical breakthrough than a technological breakthrough. Companies like Google and Facebook had developed this internally and shockingly, you know, for these companies that have released many kind of unprecedented products, they decided facial recognition technology like this was too much and they held it back and they decided not to release it.

And so Clearview AI was just willing to do what other companies hadn't been willing to do. Which I thought was interesting and part of why I wrote the book is, you know, who are these people and why did they do this? And honestly, they did have, in the early days, some troubling ideas about how to use facial recognition technology.

So one of the first deployments was of, of Clearview AI, before it was called Clearview AI, was at the Deploraball, this kind of inaugural event around Trump becoming president and they were using it because It was going to be this gathering of all these people who had had supported Trump, the kind of MAGA crowd, O=of which some of the Clearview AI founders were part of. And they were worried about being infiltrated by Antifa, which I think is how they pronounce it, and so they wanted to run a background check on ticket buyers and find out whether any of them were from the far left.

And apparently this smartchecker worked for this and they identified two people who kind of were trying to get in who shouldn't have. And I found out about this because they included it in a PowerPoint presentation that they had developed for the Hungarian government. They were trying to pitch Hungary on their product as a means of border control. And so the idea was that you could use this background check product, this facial recognition technology, to keep out people you didn't want coming into the country.

And they said that they had fine tuned it so it would work on people that worked with the Open Society Foundations and George Soros because they knew that Hungary's leader, Viktor Orban, was not a fan of the Soros crowd.

And so for me, I just thought this just seemed kind of alarming that you would use it to identify essentially political dissidents, democracy activists and advocates, that that was kind of where their minds went to for their product when it was very early, basically still at the prototype stage.

CINDY COHN
I think that it's important to recognize these tools, like many technologies, they're dual use tools, right, and we have to think really hard about how they can be used and create laws and policies around there because I'm not sure that you can use some kind of technological means to make sure only good guys use this tool to do good things and that bad guys don't.

JASON KELLEY
One of the things that you mentioned about sort of government research into facial recognition reminds me that shortly after you put out your first story on Clearview in January of 2020, I think, we put out a website called Who Has Your Face, which we'd been doing research for for, I don't know, four to six months or something before that, that was specifically trying to let people know which government entities had access to your, let's say, DMV photo or your passport photo for facial recognition purposes, and that's one of the great examples, I think, of how sort of like Venmo, you put information somewhere that's, even in this case, required by law, and you don't ever expect that the FBI would be able to run facial recognition on that picture based on like a surveillance photo, for example.

KASHMIR HILL
So it makes me think of two things, and one is, you know, as part of the book I was looking back at the history of the US thinking about facial recognition technology and setting up guardrails or for the most part NOT setting up guardrails.

And there was this hearing about it more than a decade ago. I think actually Jen Lynch from the EFF testified at it. And it was like 10 years ago when facial recognition technology was first getting kind of good enough to get deployed. And the FBI was starting to build a facial recognition database and police departments were starting to use these kind of early apps.

It troubles me to think about just knowing the bias problems that facial recognition technology had at that time that they were kind of actively using it. But lawmakers were concerned and they were asking questions about whose photo is going to go in here? And the government representatives who were there, law enforcement, at the time they said, we're only using criminal mugshots.

You know, we're not interested in the goings about of normal Americans. We just want to be able to recognize the faces of people that we know have already had encounters with the law, and we want to be able to keep track of those people. And it was interesting to me because in the years to come, that would change, you know, they started pulling in state driver's license photos in some places, and it, it ended up not just being criminals that were being tracked or people, not always even criminals, just people who've had encounters with law enforcement where they ended up with a mugshot taken.

But that is the the kind of frog boiling of ‘well we'll just start out with some of these photos and then you know we'll actually we'll add in some state driver's license photos and then we'll start using a company called Clearview AI that's scraped the entire internet Um, you know everybody on the planet in this facial recognition database.

So it just speaks to this challenge of controlling it, you know,, this kind of surveillance creep where once you start setting up the system, you just want to pull in more and more data and you want to surveil people in more and more ways.

CINDY COHN
And you tell some wonderful stories or actually horrific stories in the book about people who were misidentified. And the answer from the technologists is, well, we just need more data then. Right? We need everybody's driver's licenses, not just mugshots. And then that way we eliminate the bias that comes from just using mugshots. Or you tell a story that I often talk about, which is, I believe the Chinese government was having a hard time with its facial recognition, recognizing black faces, and they made some deals in Africa to just wholesale get a bunch of black faces so they could train up on it.

And, you know, to us, talking about bias in a way that doesn't really talk about comprehensive privacy reform and instead talks only about bias ends up in this technological world in which the solution is more people's faces into the system.

And we see this with all sorts of other biometrics where there's bias issues with the training data or the initial data.

KASHMIR HILL
Yeah. So this is something, so bias has been a huge problem with facial recognition technology for a long time. And really a big part of the problem was that they were not getting diverse training databases. And, you know, a lot of the people that were working on facial recognition technology were white people, white men, and they would make sure that it worked well on them and the other people they worked with.

And so we had, you know, technologies that just did not work as well on other people. One of those early facial recognition technology companies I talked to who was in business, you know, in 2000, 2001, actually used at the Super Bowl in Tampa in 2000 and in 2001 to secretly scan the faces of football fans looking for pickpockets and ticket scalpers.

That company told me that they had to pull out of a project in South Africa because they found the technology just did not work on people who had darker skin. But the activist community has brought a lot of attention to this issue that there is this problem with bias and the facial recognition vendors have heard it and they have addressed it by creating more diverse training sets.

And so now they are training their algorithms to work on different groups and the technology has improved a lot. It really has been addressed and these algorithms don't have those same kind of issues anymore.

Despite that, you know, the handful of wrongful arrests that I've covered. where, um, people are arrested for the crime of looking like someone else. Uh, they've all involved people who are black. One woman so far, a woman who was eight months pregnant, arrested for carjacking and robbery on a Thursday morning while she was getting her two kids ready for school.

And so, you know, even if you fix the bias problem in the algorithms, you're still going to have the issue of, well, who is this technology deployed on? Who is this used to police? And so yeah, I think it'll still be a problem. And then there's just these bigger questions of the civil liberty questions that still need to be addressed. You know, do we want police using facial recognition technology? And if so, what should the limitations be?

CINDY COHN
I think, you know, for us in thinking about this, the central issue is who's in charge of the system and who bears the cost if it's wrong. The consequences of a bad match are much more significant than just, oh gosh, the cops for a second thought I was the wrong person. That's not actually how this plays out in people's lives.

KASHMIR HILL
I don't think most people who haven't been arrested before realize how traumatic the whole experience can be. You know, I talk about Robert Williams in the book who was arrested after he got home from work, in front of all of his neighbors, in front of his wife and his two young daughters, spent the night in jail, you know, was charged, had to hire a lawyer to defend him.

Same thing, Portia Woodruff, the woman who was pregnant, taken to jail, charged, even though the woman who they were looking for had committed the crime the month before and was not visibly pregnant, I mean it was so clear they had the wrong person. And yet, she had to hire a lawyer, fight the charges, and she wound up in the hospital after being detained all day because she was so stressed out and dehydrated.

And so yeah, when you have people that are relying too heavily on the facial recognition technology and not doing proper investigations, this can have a very harmful effect on, on individual people's lives.

CINDY COHN
Yeah, I mean, one of my hopes is that when, you know, that those of us who are involved in tech trying to get privacy laws passed and other kinds of things passed can have some knock on effects on trying to make the criminal justice system better. We shouldn't just be coming in and talking about the technological piece, right?

Because it's all a part of a system that itself needs reform. And so I think it's important that we recognize, um, that as well and not just try to extricate the technological piece from the rest of the system and that's why I think EFF's come to the position that governmental use of this is so problematic that it's difficult to imagine a world in which it's fixed.

KASHMIR HILL
In terms of talking about laws that have been effective We alluded to it earlier, but Illinois passed this law in 2008, the Biometric Information Privacy Act, rare law that moved faster than the technology.

And it says if you want to use somebody's biometrics, like their face print or their fingerprint to their voice print, You need to get their consent, or as a company, or you'll be fined. And so Madison Square Garden is using facial recognition technology to keep out security threats and lawyers at all of its New York City venues: The Beacon Theater, Radio City Music Hall, Madison Square Garden.

The company also has a theater in Chicago, but they cannot use facial recognition technology to keep out lawyers there because they would need to get their consent to use their biometrics that way. So it is an example of a law that has been quite effective at kind of controlling how the technology is used, maybe keeping it from being used in a way that people find troubling.

CINDY COHN
I think that's a really important point. I think sometimes people in technology despair that law can really ever do anything, and they think technological solutions are the only ones that really work. And, um, I think it's important to point out that, like, that's not always true. And the other point that you make in your book about this that I really appreciate is the Wiretap Act, right?

Like the reason that a lot of the stuff that we're seeing is visual and not voice, // you can do voice prints too, just like you can do face prints, but we don't see that.

And the reason we don't see that is because we actually have very strong federal and state laws around wiretapping that prevent the collection of this kind of information except in certain circumstances. Now, I would like to see those circumstances expanded, but it still exists. And I think that, you know, kind of recognizing where, you know, that we do have legal structures that have provided us some protection, even as we work to make them better, is kind of an important thing for people who kind of swim in tech to recognize.

KASHMIR HILL
Laws work is one of the themes of the book.

CINDY COHN
Thank you so much, Kash, for joining us. It was really fun to talk about this important topic.

KASHMIR HILL
Thanks for having me on. It's great. I really appreciate the work that EFF does and just talking to you all for so many stories. So thank you.

JASON KELLEY
That was a really fun conversation because I loved that book. The story is extremely interesting and I really enjoyed being able to talk to her about the specific issues that sort of we see in this story, which I know we can apply to all kinds of other stories and technical developments and technological advancements that we're thinking about all the time at EFF.

CINDY COHN
Yeah, I think that it's great to have somebody like Kashmir dive deep into something that we spend a lot of time talking about at EFF and, you know, not just facial recognition, but artificial intelligence and machine learning systems more broadly, and really give us the, the history of it and the story behind it so that we can ground our thinking in more reality. And, you know, it ends up being a rollicking good story.

JASON KELLEY
Yeah, I mean, what surprised me is that I think most of us saw that facial recognition sort of exploded really quickly, but it didn't, actually. A lot of the book, she writes, is about the history of its development and, um, You know, we could have been thinking about how to resolve the potential issues with facial recognition decades ago, but no one sort of expected that this would blow up in the way that it did until it kind of did.

And I really thought it was interesting that her explanation of how it blew up so fast wasn't really a technical development as much as an ethical one.

CINDY COHN
Yeah, I love that perspective, right?

JASON KELLEY
I mean, it’s a terrible thing, but it is helpful to think about, right?

CINDY COHN
Yeah, and it reminds me again of the thing that we talk about a lot, which is Larry Lessig's articulation of the kind of four ways that you can control behavior online. There's markets, there's laws, there's norms, and there's architecture. In this system, you know, we had. norms that were driven across.

The thing that Clearview did that she says wasn't a technical breakthrough, it was an ethical breakthrough. I think it points the way towards, you know, where you might need laws.
There's also an architecture piece though. You know, if Venmo hadn't set up its system so that everybody's faces were easily made public and scrapable, you know, that architectural decision could have had a pretty big impact on how vast this company was able to scale and where they could look.

So we've got an architecture piece, we've got a norms piece, we've got a lack of laws piece. It's very clear that a comprehensive privacy law would have been very helpful here.

And then there's the other piece about markets, right? You know, when you're selling into the law enforcement market, which is where Clearview finally found purchase, that's an extremely powerful market. And it ends up distorting the other ones.

JASON KELLEY
Exactly.

CINDY COHN
Once law enforcement decides they want something, I mean, when I asked Kash, you know, like, what do you think about ideas about banning facial recognition? Uh, she said, well, I think law enforcement really likes it. And so I don't think it'll be banned. And what that tells us is this particular market. can trump all the other pieces, and I think we see that in a lot of the work we do at EFF as well.

You know, we need to carve out a better space such that we can actually say no to law enforcement, rather than, well, if law enforcement wants it, then we're done in terms of things, and I think that's really shown by this story.

JASON KELLEY
Thanks for joining us for this episode of how to fix the internet.
If you have feedback or suggestions, we'd love to hear from you. Visit EFF. org slash podcast and click on listener feedback. While you're there, you can become a member, donate, maybe pick up some merch, and just see what's happening in digital rights this week and every week.

This podcast is licensed Creative Commons Attribution 4.0 International, and includes music licensed Creative Commons Attribution 3.0 Unported by their creators.

In this episode, you heard Cult Orrin by Alex featuring Starfrosh and Jerry Spoon.

And Drops of H2O, The Filtered Water Treatment, by Jay Lang, featuring Airtone.

You can find links to their music in our episode notes, or on our website at eff.org/podcast.

Our theme music is by Nat Keefe of BeatMower with Reed Mathis

How to Fix the Internet is supported by the Alfred P. Sloan Foundation's program in public understanding of science and technology.

We’ll see you next time.

I’m Jason Kelley.

CINDY COHN
And I’m Cindy Cohn.

Responding to ShotSpotter, Police Shoot at Child Lighting Fireworks

22 March 2024 at 19:10

This post was written by Rachel Hochhauser, an EFF legal intern

We’ve written multiple times about the inaccurate and dangerous “gunshot detection” tool, Shotspotter. A recent near-tragedy in Chicago adds to the growing pile of evidence that cities should drop the product.

On January 25, while responding to a ShotSpotter alert, a Chicago police officer opened fire on an unarmed “maybe 14 or 15” year old child in his backyard. Three officers approached the boy’s house, with one asking “What you doing bro, you good?” They heard a loud bang, later determined to be fireworks, and shot at the child. Fortunately, no physical injuries were recorded. In initial reports, police falsely claimed that they fired at a “man” who had fired on officers.

In a subsequent assessment of the event, the Chicago Civilian Office of Police Accountability (“COPA”) concluded that “a firearm was not used against the officers.” Chicago Police Superintendent Larry Snelling placed all attending officers on administrative duty for 30 days and is investigating whether the officers violated department policies.

ShotSpotter is the largest company which produces and distributes audio gunshot detection for U.S. cities and police departments. Currently, it is used by 100 law enforcement agencies. The system relies on sensors positioned on buildings and lamp posts, which purportedly detect the acoustic signature of a gunshot. The information is then forwarded to humans who purportedly have the expertise to verify whether the sound was gunfire (and not, for example, a car backfiring), and whether to deploy officers to the scene.

ShotSpotter claims that its technology is “97% accurate,” a figure produced by the marketing department and not engineers. The recent Chicago shooting shows this is not accurate. Indeed, a 2021 study in Chicago found that, in a period of 21 months, ShotSpotter resulted in police acting on dead-end reports over 40,000 times. Likewise, the Cook County State’s Attorney’s office concluded that ShotSpotter had “minimal return on investment” and only resulted in arrest for 1% of proven shootings, according to a recent CBS report. The technology is predominantly used in Black and Latinx neighborhoods, contributing to the over-policing of these areas. Police responding to ShotSpotter arrive at the scenes expecting gunfire and are on edge and therefore more likely to draw their firearms.

Finally, these sensors invade the right to privacy. Even in public places, people often have a reasonable expectation of privacy and therefore a legal right not to have their voices recorded. But these sound sensors risk the capture and leaking of private conversation. In People v. Johnson in California, a court held such recordings from ShotSpotter to be admissible evidence.

In February, Chicago’s Mayor announced that the city would not be renewing its contract with Shotspotter. Many other cities have cancelled or are considering cancelling use of the tool.

This technology endangers lives, disparately impacts communities of color, and encroaches on the privacy rights of individuals. It has a history of false positives and poses clear dangers to pedestrians and residents. It is urgent that these inaccurate and harmful systems be removed from our streets.

Cops Running DNA-Manufactured Faces Through Face Recognition Is a Tornado of Bad Ideas

22 March 2024 at 11:52

In keeping with law enforcement’s grand tradition of taking antiquated, invasive, and oppressive technologies, making them digital, and then calling it innovation, police in the U.S. recently combined two existing dystopian technologies in a brand new way to violate civil liberties. A police force in California recently employed the new practice of taking a DNA sample from a crime scene, running this through a service provided by US company Parabon NanoLabs that guesses what the perpetrators face looked like, and plugging this rendered image into face recognition software to build a suspect list.

Parts of this process aren't entirely new. On more than one occasion, police forces have been found to have fed images of celebrities into face recognition software to generate suspect lists. In one case from 2017, the New York Police Department decided its suspect looked like Woody Harrelson and ran the actor’s image through the software to generate hits. Further, software provided by US company Vigilant Solutions enables law enforcement to create “a proxy image from a sketch artist or artist rendering” to enhance images of potential suspects so that face recognition software can match these more accurately.

Since 2014, law enforcement have also sought the assistance of Parabon NanoLabs—a company that alleges it can create an image of the suspect’s face from their DNA. Parabon NanoLabs claim to have built this system by training machine learning models on the DNA data of thousands of volunteers with 3D scans of their faces. It is currently the only company offering phenotyping and only in concert with a forensic genetic genealogy investigation. The process is yet to be independently audited, and scientists have affirmed that predicting face shapes—particularly from DNA samples—is not possible. But this has not stopped law enforcement officers from seeking to use it, or from running these fabricated images through face recognition software.

Simply put: police are using DNA to create a hypothetical and not at all accurate face, then using that face as a clue on which to base investigations into crimes. Not only is this full dice-roll policing, it also threatens the rights, freedom, or even the life of whoever is unlucky enough to look a little bit like that artificial face.

But it gets worse.

In 2020, a detective from the East Bay Regional Park District Police Department in California asked to have a rendered image from Parabon NanoLabs run through face recognition software. This 3D rendering, called a Snapshot Phenotype Report, predicted that—among other attributes—the suspect was male, had brown eyes, and fair skin. Found in police records published by Distributed Denial of Secrets, this appears to be the first reporting of a detective running an algorithmically-generated rendering based on crime-scene DNA through face recognition software. This puts a second layer of speculation between the actual face of the suspect and the product the police are using to guide investigations and make arrests. Not only is the artificial face a guess, now face recognition (a technology known to misidentify people)  will create a “most likely match” for that face.

These technologies, and their reckless use by police forces, are an inherent threat to our individual privacy, free expression, information security, and social justice. Face recognition tech alone has an egregious history of misidentifying people of color, especially Black women, as well as failing to correctly identify trans and nonbinary people. The algorithms are not always reliable, and even if the technology somehow had 100% accuracy, it would still be an unacceptable tool of invasive surveillance capable of identifying and tracking people on a massive scale. Combining this with fabricated 3D renderings from crime-scene DNA exponentially increases the likelihood of false arrests, and exacerbates existing harms on communities that are already disproportionately over-surveilled by face recognition technology and discriminatory policing. 

There are no federal rules that prohibit police forces from undertaking these actions. And despite the detective’s request violating Parabon NanoLabs’ terms of service, there is seemingly no way to ensure compliance. Pulling together criteria like skin tone, hair color, and gender does not give an accurate face of a suspect, and deploying these untested algorithms without any oversight places people at risk of being a suspect for a crime they didn’t commit. In one case from Canada, Edmonton Police Service issued an apology over its failure to balance the harms to the Black community with the potential investigative value after using Parabon’s DNA phenotyping services to identify a suspect.

EFF continues to call for a complete ban on government use of face recognition—because otherwise these are the results. How much more evidence do law markers need that police cannot be trusted with this dangerous technology? How many more people need to be falsely arrested and how many more reckless schemes like this one need to be perpetrated before legislators realize this is not a sustainable method of law enforcement? Cities across the United States have already taken the step to ban government use of this technology, and Montana has specifically recognized a privacy interest in phenotype data. Other cities and states need to catch up or Congress needs to act before more people are hurt and our rights are trampled. 

Lucy Parsons Labs Takes Police Foundation to Court for Open Records Requests

19 March 2024 at 18:55

The University of Georgia (UGA) School of Law’s First Amendment Clinic has filed an Open Records Request lawsuit to demand public records from the private Atlanta Police Foundation (APF). The lawsuit, filed at the behest of the Atlanta Community Press Collective and Electronic Frontier Alliance-member Lucy Parsons Labs, is seeking records relating to the Atlanta Public Safety Training Center, which activists refer to as Cop City. While the facility will be used for public law enforcement and emergency services agencies, including training on surveillance technologies, the lease is held by the APF.  

The argument is that the Atlanta Police Foundation, as the nonprofit holding the lease for facilities intended for use by government agencies, should be subject to the same state Open Records Act as to its functions that are on behalf of law enforcement agencies. Beyond the Atlanta Public Safety Training Center, the APF also manages the Atlanta Police Department’s Video Surveillance Center, which integrates footage from over 16,000 public and privately-held surveillance cameras across the city. 

According to UGA School of Law’s First Amendment Clinic, “The Georgia Supreme Court has held that records in the custody of a private entity that relate to services or functions the entity performs for or on behalf of the government are public records under the Georgia Open Records Act.” 

Police foundations frequently operate in this space. They are private, non-profit organizations with boards made up of corporations and law firms that receive monetary or equipment donations that they then gift to their local law enforcement agencies. These gifts often bypass council hearings or other forms of public oversight. 

Lucy Parsons Labs’ Ed Vogel said, “At the core of the struggle over the Atlanta Public Safety Training Center is democratic practice. Decisions regarding this facility should not be made behind closed doors. This lawsuit is just one piece of that. The people have a right to know.” 

You can read the lawsuit here. 

AI and the Evolution of Social Media

19 March 2024 at 07:05

Oh, how the mighty have fallen. A decade ago, social media was celebrated for sparking democratic uprisings in the Arab world and beyond. Now front pages are splashed with stories of social platforms’ role in misinformation, business conspiracy, malfeasance, and risks to mental health. In a 2022 survey, Americans blamed social media for the coarsening of our political discourse, the spread of misinformation, and the increase in partisan polarization.

Today, tech’s darling is artificial intelligence. Like social media, it has the potential to change the world in many ways, some favorable to democracy. But at the same time, it has the potential to do incredible damage to society.

There is a lot we can learn about social media’s unregulated evolution over the past decade that directly applies to AI companies and technologies. These lessons can help us avoid making the same mistakes with AI that we did with social media.

In particular, five fundamental attributes of social media have harmed society. AI also has those attributes. Note that they are not intrinsically evil. They are all double-edged swords, with the potential to do either good or ill. The danger comes from who wields the sword, and in what direction it is swung. This has been true for social media, and it will similarly hold true for AI. In both cases, the solution lies in limits on the technology’s use.

#1: Advertising

The role advertising plays in the internet arose more by accident than anything else. When commercialization first came to the internet, there was no easy way for users to make micropayments to do things like viewing a web page. Moreover, users were accustomed to free access and wouldn’t accept subscription models for services. Advertising was the obvious business model, if never the best one. And it’s the model that social media also relies on, which leads it to prioritize engagement over anything else.

Both Google and Facebook believe that AI will help them keep their stranglehold on an 11-figure online ad market (yep, 11 figures), and the tech giants that are traditionally less dependent on advertising, like Microsoft and Amazon, believe that AI will help them seize a bigger piece of that market.

Big Tech needs something to persuade advertisers to keep spending on their platforms. Despite bombastic claims about the effectiveness of targeted marketing, researchers have long struggled to demonstrate where and when online ads really have an impact. When major brands like Uber and Procter & Gamble recently slashed their digital ad spending by the hundreds of millions, they proclaimed that it made no dent at all in their sales.

AI-powered ads, industry leaders say, will be much better. Google assures you that AI can tweak your ad copy in response to what users search for, and that its AI algorithms will configure your campaigns to maximize success. Amazon wants you to use its image generation AI to make your toaster product pages look cooler. And IBM is confident its Watson AI will make your ads better.

These techniques border on the manipulative, but the biggest risk to users comes from advertising within AI chatbots. Just as Google and Meta embed ads in your search results and feeds, AI companies will be pressured to embed ads in conversations. And because those conversations will be relational and human-like, they could be more damaging. While many of us have gotten pretty good at scrolling past the ads in Amazon and Google results pages, it will be much harder to determine whether an AI chatbot is mentioning a product because it’s a good answer to your question or because the AI developer got a kickback from the manufacturer.

#2: Surveillance

Social media’s reliance on advertising as the primary way to monetize websites led to personalization, which led to ever-increasing surveillance. To convince advertisers that social platforms can tweak ads to be maximally appealing to individual people, the platforms must demonstrate that they can collect as much information about those people as possible.

It’s hard to exaggerate how much spying is going on. A recent analysis by Consumer Reports about Facebook—just Facebook—showed that every user has more than 2,200 different companies spying on their web activities on its behalf.

AI-powered platforms that are supported by advertisers will face all the same perverse and powerful market incentives that social platforms do. It’s easy to imagine that a chatbot operator could charge a premium if it were able to claim that its chatbot could target users on the basis of their location, preference data, or past chat history and persuade them to buy products.

The possibility of manipulation is only going to get greater as we rely on AI for personal services. One of the promises of generative AI is the prospect of creating a personal digital assistant advanced enough to act as your advocate with others and as a butler to you. This requires more intimacy than you have with your search engine, email provider, cloud storage system, or phone. You’re going to want it with you constantly, and to most effectively work on your behalf, it will need to know everything about you. It will act as a friend, and you are likely to treat it as such, mistakenly trusting its discretion.

Even if you choose not to willingly acquaint an AI assistant with your lifestyle and preferences, AI technology may make it easier for companies to learn about you. Early demonstrations illustrate how chatbots can be used to surreptitiously extract personal data by asking you mundane questions. And with chatbots increasingly being integrated with everything from customer service systems to basic search interfaces on websites, exposure to this kind of inferential data harvesting may become unavoidable.

#3: Virality

Social media allows any user to express any idea with the potential for instantaneous global reach. A great public speaker standing on a soapbox can spread ideas to maybe a few hundred people on a good night. A kid with the right amount of snark on Facebook can reach a few hundred million people within a few minutes.

A decade ago, technologists hoped this sort of virality would bring people together and guarantee access to suppressed truths. But as a structural matter, it is in a social network’s interest to show you the things you are most likely to click on and share, and the things that will keep you on the platform.

As it happens, this often means outrageous, lurid, and triggering content. Researchers have found that content expressing maximal animosity toward political opponents gets the most engagement on Facebook and Twitter. And this incentive for outrage drives and rewards misinformation.

As Jonathan Swift once wrote, “Falsehood flies, and the Truth comes limping after it.” Academics seem to have proved this in the case of social media; people are more likely to share false information—perhaps because it seems more novel and surprising. And unfortunately, this kind of viral misinformation has been pervasive.

AI has the potential to supercharge the problem because it makes content production and propagation easier, faster, and more automatic. Generative AI tools can fabricate unending numbers of falsehoods about any individual or theme, some of which go viral. And those lies could be propelled by social accounts controlled by AI bots, which can share and launder the original misinformation at any scale.

Remarkably powerful AI text generators and autonomous agents are already starting to make their presence felt in social media. In July, researchers at Indiana University revealed a botnet of more than 1,100 Twitter accounts that appeared to be operated using ChatGPT.

AI will help reinforce viral content that emerges from social media. It will be able to create websites and web content, user reviews, and smartphone apps. It will be able to simulate thousands, or even millions, of fake personas to give the mistaken impression that an idea, or a political position, or use of a product, is more common than it really is. What we might perceive to be vibrant political debate could be bots talking to bots. And these capabilities won’t be available just to those with money and power; the AI tools necessary for all of this will be easily available to us all.

#4: Lock-in

Social media companies spend a lot of effort making it hard for you to leave their platforms. It’s not just that you’ll miss out on conversations with your friends. They make it hard for you to take your saved data—connections, posts, photos—and port it to another platform. Every moment you invest in sharing a memory, reaching out to an acquaintance, or curating your follows on a social platform adds a brick to the wall you’d have to climb over to go to another platform.

This concept of lock-in isn’t unique to social media. Microsoft cultivated proprietary document formats for years to keep you using its flagship Office product. Your music service or e-book reader makes it hard for you to take the content you purchased to a rival service or reader. And if you switch from an iPhone to an Android device, your friends might mock you for sending text messages in green bubbles. But social media takes this to a new level. No matter how bad it is, it’s very hard to leave Facebook if all your friends are there. Coordinating everyone to leave for a new platform is impossibly hard, so no one does.

Similarly, companies creating AI-powered personal digital assistants will make it hard for users to transfer that personalization to another AI. If AI personal assistants succeed in becoming massively useful time-savers, it will be because they know the ins and outs of your life as well as a good human assistant; would you want to give that up to make a fresh start on another company’s service? In extreme examples, some people have formed close, perhaps even familial, bonds with AI chatbots. If you think of your AI as a friend or therapist, that can be a powerful form of lock-in.

Lock-in is an important concern because it results in products and services that are less responsive to customer demand. The harder it is for you to switch to a competitor, the more poorly a company can treat you. Absent any way to force interoperability, AI companies have less incentive to innovate in features or compete on price, and fewer qualms about engaging in surveillance or other bad behaviors.

#5: Monopolization

Social platforms often start off as great products, truly useful and revelatory for their consumers, before they eventually start monetizing and exploiting those users for the benefit of their business customers. Then the platforms claw back the value for themselves, turning their products into truly miserable experiences for everyone. This is a cycle that Cory Doctorow has powerfully written about and traced through the history of Facebook, Twitter, and more recently TikTok.

The reason for these outcomes is structural. The network effects of tech platforms push a few firms to become dominant, and lock-in ensures their continued dominance. The incentives in the tech sector are so spectacularly, blindingly powerful that they have enabled six megacorporations (Amazon, Apple, Google, Facebook parent Meta, Microsoft, and Nvidia) to command a trillion dollars each of market value—or more. These firms use their wealth to block any meaningful legislation that would curtail their power. And they sometimes collude with each other to grow yet fatter.

This cycle is clearly starting to repeat itself in AI. Look no further than the industry poster child OpenAI, whose leading offering, ChatGPT, continues to set marks for uptake and usage. Within a year of the product’s launch, OpenAI’s valuation had skyrocketed to about $90 billion.

OpenAI once seemed like an “open” alternative to the megacorps—a common carrier for AI services with a socially oriented nonprofit mission. But the Sam Altman firing-and-rehiring debacle at the end of 2023, and Microsoft’s central role in restoring Altman to the CEO seat, simply illustrated how venture funding from the familiar ranks of the tech elite pervades and controls corporate AI. In January 2024, OpenAI took a big step toward monetization of this user base by introducing its GPT Store, wherein one OpenAI customer can charge another for the use of its custom versions of OpenAI software; OpenAI, of course, collects revenue from both parties. This sets in motion the very cycle Doctorow warns about.

In the middle of this spiral of exploitation, little or no regard is paid to externalities visited upon the greater public—people who aren’t even using the platforms. Even after society has wrestled with their ill effects for years, the monopolistic social networks have virtually no incentive to control their products’ environmental impact, tendency to spread misinformation, or pernicious effects on mental health. And the government has applied virtually no regulation toward those ends.

Likewise, few or no guardrails are in place to limit the potential negative impact of AI. Facial recognition software that amounts to racial profiling, simulated public opinions supercharged by chatbots, fake videos in political ads—all of it persists in a legal gray area. Even clear violators of campaign advertising law might, some think, be let off the hook if they simply do it with AI.

Mitigating the risks

The risks that AI poses to society are strikingly familiar, but there is one big difference: it’s not too late. This time, we know it’s all coming. Fresh off our experience with the harms wrought by social media, we have all the warning we should need to avoid the same mistakes.

The biggest mistake we made with social media was leaving it as an unregulated space. Even now—after all the studies and revelations of social media’s negative effects on kids and mental health, after Cambridge Analytica, after the exposure of Russian intervention in our politics, after everything else—social media in the US remains largely an unregulated “weapon of mass destruction.” Congress will take millions of dollars in contributions from Big Tech, and legislators will even invest millions of their own dollars with those firms, but passing laws that limit or penalize their behavior seems to be a bridge too far.

We can’t afford to do the same thing with AI, because the stakes are even higher. The harm social media can do stems from how it affects our communication. AI will affect us in the same ways and many more besides. If Big Tech’s trajectory is any signal, AI tools will increasingly be involved in how we learn and how we express our thoughts. But these tools will also influence how we schedule our daily activities, how we design products, how we write laws, and even how we diagnose diseases. The expansive role of these technologies in our daily lives gives for-profit corporations opportunities to exert control over more aspects of society, and that exposes us to the risks arising from their incentives and decisions.

The good news is that we have a whole category of tools to modulate the risk that corporate actions pose for our lives, starting with regulation. Regulations can come in the form of restrictions on activity, such as limitations on what kinds of businesses and products are allowed to incorporate AI tools. They can come in the form of transparency rules, requiring disclosure of what data sets are used to train AI models or what new preproduction-phase models are being trained. And they can come in the form of oversight and accountability requirements, allowing for civil penalties in cases where companies disregard the rules.

The single biggest point of leverage governments have when it comes to tech companies is antitrust law. Despite what many lobbyists want you to think, one of the primary roles of regulation is to preserve competition—not to make life harder for businesses. It is not inevitable for OpenAI to become another Meta, an 800-pound gorilla whose user base and reach are several times those of its competitors. In addition to strengthening and enforcing antitrust law, we can introduce regulation that supports competition-enabling standards specific to the technology sector, such as data portability and device interoperability. This is another core strategy for resisting monopoly and corporate control.

Additionally, governments can enforce existing regulations on advertising. Just as the US regulates what media can and cannot host advertisements for sensitive products like cigarettes, and just as many other jurisdictions exercise strict control over the time and manner of politically sensitive advertising, so too could the US limit the engagement between AI providers and advertisers.

Lastly, we should recognize that developing and providing AI tools does not have to be the sovereign domain of corporations. We, the people and our government, can do this too. The proliferation of open-source AI development in 2023, successful to an extent that startled corporate players, is proof of this. And we can go further, calling on our government to build public-option AI tools developed with political oversight and accountability under our democratic system, where the dictatorship of the profit motive does not apply.

Which of these solutions is most practical, most important, or most urgently needed is up for debate. We should have a vibrant societal dialogue about whether and how to use each of these tools. There are lots of paths to a good outcome.

The problem is that this isn’t happening now, particularly in the US. And with a looming presidential election, conflict spreading alarmingly across Asia and Europe, and a global climate crisis, it’s easy to imagine that we won’t get our arms around AI any faster than we have (not) with social media. But it’s not too late. These are still the early years for practical consumer AI applications. We must and can do better.

This essay was written with Nathan Sanders, and was originally published in MIT Technology Review.

Thousands of Young People Told Us Why the Kids Online Safety Act Will Be Harmful to Minors

15 March 2024 at 15:37

With KOSA passed, the information i can access as a minor will be limited and censored, under the guise of "protecting me", which is the responsibility of my parents, NOT the government. I have learned so much about the world and about myself through social media, and without the diverse world i have seen, i would be a completely different, and much worse, person. For a country that prides itself in the free speech and freedom of its peoples, this bill goes against everything we stand for! - Alan, 15  

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If information is put through a filter, that’s bad. Any and all points of view should be accessible, even if harmful so everyone can get an understanding of all situations. Not to mention, as a young neurodivergent and queer person, I’m sure the information I’d be able to acquire and use to help myself would be severely impacted. I want to be free like anyone else. - Sunny, 15 

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How young people feel about the Kids Online Safety Act (KOSA) matters. It will primarily affect them, and many, many teenagers oppose the bill. Some have been calling and emailing legislators to tell them how they feel. Others have been posting their concerns about the bill on social media. These teenagers have been baring their souls to explain how important social media access is to them, but lawmakers and civil liberties advocates, including us, have mostly been the ones talking about the bill and about what’s best for kids, and often we’re not hearing from minors in these debates at all. We should be — these young voices should be essential when talking about KOSA.

So, a few weeks ago, we asked some of the young advocates fighting to stop the Kids Online Safety Act a few questions:  

- How has access to social media improved your life? What do you gain from it? 

- What would you lose if KOSA passed? How would your life be different if it was already law? 

Within a week we received over 3,000 responses. As of today, we have received over 5,000.

These answers are critical for legislators to hear. Below, you can read some of these comments, sorted into the following themes (though they often overlap):  

These comments show that thoughtful young people are deeply concerned about the proposed law's fallout, and that many who would be affected think it will harm them, not help them. Over 700 of those who responded reported that they were currently sixteen or under—the age under which KOSA’s liability is applicable. The average age of those who answered the survey was 20 (of those who gave their age—the question was optional, and about 60% of people responded).  In addition to these two questions, we also asked those taking the survey if they were comfortable sharing their email address for any journalist who might want to speak with them; unfortunately much coverage usually only mentions one or two of the young people who would be most affected. So, journalists: We have contact info for over 300 young people who would be happy to speak to you about why social media matters to them, and why they oppose KOSA.

Individually, these answers show that social media, despite its current problems, offer an overall positive experience for many, many young people. It helps people living in remote areas find connection; it helps those in abusive situations find solace and escape; it offers education in history, art, health, and world events for those who wouldn’t otherwise have it; it helps people learn about themselves and the world around them. (Research also suggests that social media is more helpful than harmful for young people.) 

And as a whole, these answers tell a story that is 180° different from that which is regularly told by politicians and the media. In those stories, it is accepted as fact that the majority of young people’s experiences on social media platforms are harmful. But from these responses, it is clear that many, many young people also experience help, education, friendship, and a sense of belonging there—precisely because social media allows them to explore, something KOSA is likely to hinder. These kids are deeply engaged in the world around them through these platforms, and genuinely concerned that a law like KOSA could take that away from them and from other young people.  

Here are just a few of the thousands of reasons they’re worried.  

Note: We are sharing individuals’ opinions, without editing. We do not necessarily endorse them or their interpretation of KOSA.

KOSA Will Harm Rights That Young People Know They Ought to Have 

One of the most important things that would be lost is the freedom of speech - a given right that is crucial to a healthy, functioning environment. Not every speech is morally okay, but regulating what speech is deemed "acceptable" constricts people's rights; a clear violation of the First Amendment. Those who need or want to access certain information are not allowed to - not because the information will harm them or others, but for the reason that a certain portion of people disagree with the information. If the country only ran on what select people believed, we would be a bland, monotonous place. This country thrives on diversity, whether it be race, gender, sex, or any other personal belief. If KOSA was passed, I would lose my safe spaces, places where I can go to for mental health, places that make me feel more like a human than just some girl. No more would I be able to fight for ideas and beliefs I hold, nor enjoy my time on the internet either. - Anonymous, 16 

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I, and many of my friends, grew up in an Internet where remaining anonymous was common sense, and where revealing your identity was foolish and dangerous, something only to be done sparingly, with a trusted ally at your side, meeting at a common, crowded public space like a convention or a college cafeteria. This bill spits in the face of these very practical instincts, forces you to dox yourself, and if you don’t want to be outed, you must be forced to withdraw from your communities. From your friends and allies. From the space you have made for yourself, somewhere you can truly be yourself with little judgment, where you can find out who you really are, alongside people who might be wildly different from you in some ways, and exactly like you in others. I am fortunate to have parents who are kind and accepting of who I am. I know many people are nowhere near as lucky as me. - Maeve, 25 

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I couldn't do activism through social media and I couldn't connect with other queer individuals due to censorship and that would lead to loneliness, depression other mental health issues, and even suicide for some individuals such as myself. For some of us the internet is the only way to the world outside of our hateful environments, our only hope. Representation matters, and by KOSA passing queer children would see less of age appropriate representation and they would feel more alone. Not to mention that KOSA passing would lead to people being uninformed about things and it would start an era of censorship on the internet and by looking at the past censorship is never good, its a gateway to genocide and a way for the government to control. – Sage, 15 

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Privacy, censorship, and freedom of speech are not just theoretical concepts to young people. Their rights are often already restricted, and they see the internet as a place where they can begin to learn about, understand, and exercise those freedoms. They know why censorship is dangerous; they understand why forcing people to identify themselves online is dangerous; they know the value of free speech and privacy, and they know what they’ve gained from an internet that doesn’t have guardrails put up by various government censors.  

TAKE ACTION

TELL CONGRESS: OPPOSE THE KIDS ONLINE SAFETY ACT

KOSA Could Impact Young People’s Artistic Education and Opportunities 

I found so many friends and new interests from social media. Inspirations for my art I find online, like others who have an art style I admire, or models who do poses I want to draw. I can connect with my friends, send them funny videos and pictures. I use social media to keep up with my favorite YouTubers, content creators, shows, books. When my dad gets drunk and hard to be around or my parents are arguing, I can go on YouTube or Instagram and watch something funny to laugh instead. It gives me a lot of comfort, being able to distract myself from my sometimes upsetting home life. I get to see what life is like for the billions of other people on this planet, in different cities, states, countries. I get to share my life with my friends too, freely speaking my thoughts, sharing pictures, videos, etc.  
I have found my favorite YouTubers from other social media platforms like tiktok, this happened maybe about a year ago, and since then I think this is the happiest I have been in a while. Since joining social media I have become a much more open minded person, it made me interested in what others lives are like. It also brought awareness and educated me about others who are suffering in the world like hunger, poor quality of life, etc. Posting on social media also made me more confident in my art, in the past year my drawing skills have immensely improved and I’m shocked at myself. Because I wanted to make better fan art, inspire others, and make them happy with my art. I have been introduce to many styles of clothing that have helped develop my own fun clothing style. It powers my dreams and makes me want to try hard when I see videos shared by people who have worked hard and made it. - Anonymous, 15 

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As a kid I was able to interact in queer and disabled and fandom spaces, so even as a disabled introverted child who wasn’t popular with my peers I still didn’t feel lonely. The internet is arguably a safer way to interact with other fans of media than going to cons with strangers, as long as internet safety is really taught to kids. I also get inspiration for my art and writing from things I’ve only discovered online, and as an artist I can’t make money without the internet and even minors do commissions. The issue isn’t that the internet is unsafe, it’s that internet safety isn’t taught anymore. - Rachel, 19 

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i am an artist, and sharing my things online makes me feel happy and good about myself. i love seeing other people online and knowing that they like what i make. when i make art, im always nervous to show other people. but when i post it online i feel like im a part of something, and that im in a community where i feel that i belong. – Anonymous, 15 

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Social media has saved my life, just like it has for many young people. I have found safe spaces and motivation because of social media, and I have never encountered anything negative or harmful to me. With social media I have been able to share my creativity (writing, art, and music) and thoughts safely without feeling like I'm being held back or oppressed. My creations have been able to inspire and reach so many people, just like how other people's work have reached me. Recently, I have also been able to help the library I volunteer at through the help of social media. 
What I do in life and all my future plans (career, school, volunteer projects, etc.) surrounds social media, and without it I wouldn't be able to share what I do and learn more to improve my works and life. I wouldn't be able to connect with wonderful artists, musicians, and writers like I do now. I would be lost and feel like I don't have a reason to do what I do. If KOSA is passed, I wouldn't be able to get the help I need in order to survive. I've made so many friends who have been saved because of social media, and if this bill gets passed they will also be affected. Guess what? They wouldn't be able to get the help they need either. 
If KOSA was already a law when I was just a bit younger, I wouldn't even be alive. I wouldn't have been able to reach help when I needed it. I wouldn't have been able to share my mind with the world. Social media was the reason I was able to receive help when I was undergoing abuse and almost died. If KOSA was already a law, I would've taken my life, or my abuser would have done it before I could. If KOSA becomes a law now, I'm certain that the likeliness of that happening to kids of any age will increase. – Anonymous, 15 

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A huge number of young artists say they use social media to improve their skills, and in many cases, the avenue by which they discovered their interest in a type of art or music. Young people are rightfully worried that the magic moment where you first stumble upon an artist or a style that changes your entire life will be less and less common for future generations if KOSA passes. We agree: KOSA would likely lead platforms to limit that opportunity for young people to experience unexpected things, forcing their online experiences into a much smaller box under the guise of protecting them.  

Also, a lot of young people told us they wanted to, or were developing, an online business—often an art business. Under KOSA, young people could have less opportunities in the online communities where artists share their work and build a customer base, and a harder time navigating the various communities where they can share their art.  

KOSA Will Hurt Young People’s Ability to Find Community Online 

Social media has allowed me to connect with some of my closest friends ever, probably deeper than some people in real life. i get to talk about anything i want unimpeded and people accept me for who i am. in my deepest and darkest moments, knowing that i had somewhere to go was truly more relieving than anything else. i've never had the courage to commit suicide, but still, if it weren't for social media, i probably wouldn't be here, mentally & emotionally at least. 
i'd lose the space that accepts me. i'd lose the only place where i can be me. in life, i put up a mask to appease my parents and in some cases, my friends. with how extreme the u.s. is becoming these days, i could even lose my life. i would live my days in fear. i'm terrified of how fast this country is changing and if this bill passes, saying i would fall into despair would be an understatement. people say to "be yourself", but they don't understand that if i were to be my true self tomorrow, i could be killed. – march, 14 

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Without the internet, and especially the rhythm gaming community which I found through Discord, I would've most likely killed myself at 13. My time on here has not been perfect, as has anyone's but without the internet I wouldn't have been the person I am today. I wouldn't have gotten help recognizing that what my biological parents were doing to me was abuse, the support I've received for my identity (as queer youth) and the way I view things, with ways to help people all around the world and be a more mindful ally, activist, and thinker, and I wouldn't have met my mom. 
I love my chosen mom. We met at a Dance Dance Revolution tournament in April of last year and have been friends ever since. When I told her that she was the first person I saw as a mother figure in my life back in November, I was bawling my eyes out. I'm her mije, and she's my mom. love her so much that saying that doesn't even begin to express exactly how much I love her.  
I love all my chosen family from the rhythm gaming community, my older sisters and siblings, I love them all. I have a few, some I talk with more regularly than others. Even if they and I may not talk as much as we used to, I still love them. They mean so much to me. – X86, 15 

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i spent my time in public school from ages 9-13 getting physically and emotionally abused by special ed aides, i remember a few months after i left public school for good, i saw a post online that made me realize that what i went through wasn’t normal. if it wasn’t for the internet, i wouldn’t have come to terms with my autism, i would have still hated myself due to not knowing that i was genderqueer, my mental health would be significantly worse, and i would probably still be self harming, which is something i stopped doing at 13. besides the trauma and mental health side of things, something important to know is that spaces for teenagers to hang out have been eradicated years ago, minors can’t go to malls unless they’re with their parents, anti loitering laws are everywhere, and schools aren’t exactly the best place for teenagers to hang out, especially considering queer teens who were murdered by bullies (such as brianna ghey or nex benedict), the internet has become the third space that teenagers have flocked to as a result. – Anonymous, 17 

  ___________________

KOSA is anti-community. People online don’t only connect over shared interests in art and music—they also connect over the difficult parts of their lives. Over and over again, young people told us that one of the most valuable parts of social media was learning that they were not alone in their troubles. Finding others in similar circumstances gave them a community, as well as ideas to improve their situations, and even opportunities to escape dangerous situations.  

KOSA will make this harder. As platforms limit the types of recommendations and public content they feel safe sharing with young people, those who would otherwise find communities or potential friends will not be as likely to do so. A number of young people explained that they simply would never have been able to overcome some of the worst parts of their lives alone, and they are concerned that KOSA’s passage would stop others from ever finding the help they did. 

KOSA Could Seriously Hinder People’s Self-Discovery  

I am a transgender person, and when I was a preteen, looking down the barrel of the gun of puberty, I was miserable. I didn't know what was wrong I just knew I'd rather do anything else but go through puberty. The internet taught me what that was. They told me it was okay. There were things like haircuts and binders that I could use now and medical treatment I could use when I grew up to fix things. The internet was there for me too when I was questioning my sexuality and again when my mental health was crashing and even again when I was realizing I'm not neurotypical. The internet is a crucial source of information for preteens and beyond and you cannot take it away. You cannot take away their only realistically reachable source of information for what the close-minded or undereducated adults around them don't know. - Jay, 17 

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Social media has improved my life so much and led to how I met my best friend, I’ve known them for 6+ years now and they mean so much to me. Access to social media really helps me connect with people similar to me and that make me feel like less of an outcast among my peers, being able to communicate with other neurodivergent queer kids who like similar interests to me. Social media makes me feel like I’m actually apart of a community that won’t judge me for who I am. I feel like I can actually be myself and find others like me without being harassed or bullied, I can share my art with others and find people like me in a way I can’t in other spaces. The internet & social media raised me when my parents were busy and unavailable and genuinely shaped the way I am today and the person I’ve become. – Anonymous, 14 

   ___________________

The censorship likely to come from this bill would mean I would not see others who have similar struggles to me. The vagueness of KOSA allows for state attorney generals to decide what is and is not appropriate for children to see, a power that should never be placed in the hands of one person. If issues like LGBT rights and mental health were censored by KOSA, I would have never realized that I AM NOT ALONE. There are problems with children and the internet but KOSA is not the solution. I urge the senate to rethink this bill, and come up with solutions that actually protect children, not put them in more danger, and make them feel ever more alone. - Rae, 16 

  ___________________ 

KOSA would effectively censor anything the government deems "harmful," which could be anything from queerness and fandom spaces to anything else that deviates from "the norm." People would lose support systems, education, and in some cases, any way to find out about who they are. I'll stop beating around the bush, if it wasn't for places online, I would never have discovered my own queerness. My parents and the small circle of adults I know would be my only connection to "grown-up" opinions, exposing me to a narrow range of beliefs I would likely be forced to adopt. Any kids in positions like mine would have no place to speak out or ask questions, and anything they bring up would put them at risk. Schools and families can only teach so much, and in this age of information, why can't kids be trusted to learn things on their own? - Anonymous, 15 

   ___________________

Social media helped me escape a very traumatic childhood and helped me connect with others. quite frankly, it saved me from being brainwashed. – Milo, 16 

   ___________________

Social media introduced me to lifelong friends and communities of like-minded people; in an abusive home, online social media in the 2010s provided a haven of privacy, safety, and information. I honed my creativity, nurtured my interests and developed my identity through relating and talking to people to whom I would otherwise have been totally isolated from. Also, unrestricted internet access actually taught me how to spot shady websites and inappropriate content FAR more effectively than if censorship had been at play like it is today. 
A couple of the friends I made online, as young as thirteen, were adults; and being friends with adults who knew I was a child, who practiced safe boundaries with me yet treated me with respect, helped me recognise unhealthy patterns in predatory adults. I have befriended mothers and fathers online through games and forums, and they were instrumental in preventing me being groomed by actual pedophiles. Had it not been for them, I would have wound up terribly abused by an "in real life" adult "friend". Instead, I recognised the differences in how he was treating me (infantilising yet praising) vs how my adult friends had treated me (like a human being), and slowly tapered off the friendship and safely cut contact. 
As I grew older, I found a wealth of resources on safe sex and sexual health education online. Again, if not for these discoveries, I would most certainly have wound up abused and/or pregnant as a teenager. I was never taught about consent, safe sex, menstruation, cervical health, breast health, my own anatomy, puberty, etc. as a child or teenager. What I found online-- typically on Tumblr and written with an alarming degree of normalcy-- helped me understand my body and my boundaries far more effectively than "the talk" or in-school sex ed ever did. I learned that the things that made me panic were actually normal; the ins and outs of puberty and development, and, crucially, that my comfort mattered most. I was comfortable and unashamed of being a virgin my entire teen years because I knew it was okay that I wasn't ready. When I was ready, at twenty-one, I knew how to communicate with my partner and establish safe boundaries, and knew to check in and talk afterwards to make sure we both felt safe and happy. I knew there was no judgement for crying after sex and that it didn't necessarily mean I wasn't okay. I also knew about physical post-sex care; e.g. going to the bathroom and cleaning oneself safely. 
AGAIN, I would NOT have known any of this if not for social media. AT ALL. And seeing these topics did NOT turn me into a dreaded teenage whore; if anything, they prevented it by teaching me safety and self-care. 
I also found help with depression, anxiety, and eating disorders-- learning to define them enabled me to seek help. I would not have had this without online spaces and social media. As aforementioned too, learning, sometimes through trial of fire, to safely navigate the web and differentiate between safe and unsafe sites was far more effective without censored content. Censorship only hurts children; it has never, ever helped them. How else was I to know what I was experiencing at home was wrong? To call it "abuse"? I never would have found that out. I also would never have discovered how to establish safe sexual AND social boundaries, or how to stand up for myself, or how to handle harassment, or how to discover my own interests and identity through media. The list goes on and on and on. – June, 21 

   ___________________

One of the claims that KOSA’s proponents make is that it won’t stop young people from finding the things they already want to search for. But we read dozens and dozens of comments from people who didn’t know something about themselves until they heard others discussing it—a mental health diagnosis, their sexuality, that they were being abused, that they had an eating disorder, and much, much more.  

Censorship that stops you from looking through a library is still dangerous even if it doesn’t stop you from checking out the books you already know. It’s still a problem to stop young people in particular from finding new things that they didn’t know they were looking for.   

TAKE ACTION

TELL CONGRESS: OPPOSE THE KIDS ONLINE SAFETY ACT

KOSA Could Stop Young People from Getting Accurate News and Valuable Information 

Social media taught me to be curious. It taught me caution and trust and faith and that simply being me is enough. It brought me up where my parents failed, it allowed me to look into stories that assured me I am not alone where I am now. I would be fucking dead right now if it weren't for the stories of my fellow transgender folk out there, assuring me that it gets better.  
I'm young and I'm not smart but I know without social media, myself and plenty of the people I hold dear in person and online would not be alive. We wouldn't have news of the atrocities happening overseas that the news doesn't report on, we wouldn't have mentors to help teach us where our parents failed. - Anonymous, 16 

  ___________________ 

Through social media, I've learned about news and current events that weren't taught at school or home, things like politics or controversial topics that taught me nuance and solidified my concept of ethics. I learned about my identity and found numerous communities filled with people I could socialize with and relate to. I could talk about my interests with people who loved them just as much as I did. I found out about numerous different perspectives and cultures and experienced art and film like I never had before. My empathy and media literacy greatly improved with experience. I was also able to gain skills in gathering information and proper defences against misinformation. More technically, I learned how to organize my computer and work with files, programs, applications, etc; I could find guides on how to pursue my hobbies and improve my skills (I'm a self-taught artist, and I learned almost everything I know from things like YouTube or Tumblr for free). - Anonymous, 15 

  ___________________ 

A huge portion of my political identity has been shaped by news and information I could only find on social media because the mainstream news outlets wouldn’t cover it. (Climate Change, International Crisis, Corrupt Systems, etc.) KOSA seems to be intentionally working to stunt all of this. It’s horrifying. So much of modern life takes place on the internet, and to strip that away from kids is just another way to prevent them from formulating their own thoughts and ideas that the people in power are afraid of. Deeply sinister. I probably would have never learned about KOSA if it were in place! That’s terrifying! - Sarge, 17 

  ___________________

I’ve met many of my friends from [social media] and it has improved my mental health by giving me resources. I used to have an eating disorder and didn’t even realize it until I saw others on social media talking about it in a nuanced way and from personal experience. - Anonymous, 15 

   ___________________

Many young people told us that they’re worried KOSA will result in more biased news online, and a less diverse information ecosystem. This seems inevitable—we’ve written before that almost any content could fit into the categories that politicians believe will cause minors anxiety or depression, and so carrying that content could be legally dangerous for a platform. That could include truthful news about what’s going on in the world, including wars, gun violence, and climate change. 

“Preventing and mitigating” depression and anxiety isn’t a goal of any other outlet, and it shouldn’t be required for social media platforms. People have a right to access information—both news and opinion— in an open and democratic society, and sometimes that information is depressing or anxiety-inducing. To truly “prevent and mitigate” self-destructive behaviors, we must look beyond the media to systems that allow all humans to have self-respect, a healthy environment, and healthy relationships—not hiding truthful information that is disappointing.  

Young People’s Voices Matter 

While KOSA’s sponsors intend to help these young people, those who responded to the survey don’t see it that way. You may have noticed that it’s impossible to limit these complex and detailed responses into single categories—many childhood abuse victims found help as well as arts education on social media; many children connected to communities that they otherwise couldn’t and learned something essential about themselves in doing so. Many understand that KOSA would endanger their privacy, and also know it could harm marginalized kids the most.  

In reading thousands of these comments, it becomes clear that social media itself was not in itself a solution to the issues they experienced. What helped these young people was other people. Social media was where they were able to find and stay connected with those friends, communities, artists, activists, and educators. When you look at it this way, of course KOSA seems absurd: social media has become an essential element of young peoples’ lives, and they are scared to death that if the law passes, that part of their lives will disappear. Older teens and twenty-somethings, meanwhile, worry that if the law had been passed a decade ago, they never would have become the person that they did. And all of these fears are reasonable.  

There were thousands more comments like those above. We hope this helps balance the conversation, because if young people’s voices are suppressed now—and if KOSA becomes law—it will be much more difficult for them to elevate their voices in the future.  

TAKE ACTION

TELL CONGRESS: OPPOSE THE KIDS ONLINE SAFETY ACT

San Diego City Council Breaks TRUST

15 March 2024 at 14:54

In a stunning reversal against the popular Transparent & Responsible Use of Surveillance Technology (TRUST) ordinance, the San Diego city council voted earlier this year to cut many of the provisions that sought to ensure public transparency for law enforcement surveillance technologies. 

Similar to other Community Control Of Police Surveillance (CCOPS) ordinances, the TRUST ordinance was intended to ensure that each police surveillance technology would be subject to basic democratic oversight in the form of public disclosures and city council votes. The TRUST ordinance was fought for by a coalition of community organizations– including several members of the Electronic Frontier Alliance – responding to surprise smart streetlight surveillance that was not put under public or city council review.  

The TRUST ordinance was passed one and a half years ago, but law enforcement advocates immediately set up roadblocks to implementation. Police unions, for example, insisted that some of the provisions around accountability for misuse of surveillance needed to be halted after passage to ensure they didn’t run into conflict with union contracts. The city kept the ordinance unapplied and untested, and then in the late summer of 2023, a little over a year after passage, the mayor proposed a package of changes that would gut the ordinance. This included exemption of a long list of technologies, including ARJIS databases and record management system data storage. These changes were later approved this past January.  

But use of these databases should require, for example, auditing to protect data security for city residents. There also should be limits on how police share data with federal agencies and other law enforcement agencies, which might use that data to criminalize San Diego residents for immigration status, gender-affirming health care, or exercise of reproductive rights that are not criminalized in the city or state. The overall TRUST ordinance stands, but partly defanged with many carve-outs for technologies the San Diego police will not need to bring before democratically-elected lawmakers and the public. 

Now, opponents of the TRUST ordinance are emboldened with their recent victory, and are vowing to introduce even more amendments to further erode the gains of this ordinance so that San Diegans won’t have a chance to know how their local law enforcement surveils them, and no democratic body will be required to consent to the technologies, new or old. The members of the TRUST Coalition are not standing down, however, and will continue to fight to defend the standing portions of the TRUST ordinance, and to regain the wins for public oversight that were lost. 

As Lilly Irani, from Electronic Frontier Alliance member and TRUST Coalition member Tech Workers Coalition San Diegohas said: 

“City Council members and the mayor still have time to make this right. And we, the people, should hold our elected representatives accountable to make sure they maintain the oversight powers we currently enjoy — powers the mayor’s current proposal erodes.” 

If you live or work in San Diego, it’s important to make it clear to city officials that San Diegans don’t want to give police a blank check to harass and surveil them. Such dangerous technology needs basic transparency and democratic oversight to preserve our privacy, our speech, and our personal safety. 

Automakers Are Sharing Driver Data with Insurers without Consent

14 March 2024 at 07:01

Kasmir Hill has the story:

Modern cars are internet-enabled, allowing access to services like navigation, roadside assistance and car apps that drivers can connect to their vehicles to locate them or unlock them remotely. In recent years, automakers, including G.M., Honda, Kia and Hyundai, have started offering optional features in their connected-car apps that rate people’s driving. Some drivers may not realize that, if they turn on these features, the car companies then give information about how they drive to data brokers like LexisNexis [who then sell it to insurance companies].

Automakers and data brokers that have partnered to collect detailed driving data from millions of Americans say they have drivers’ permission to do so. But the existence of these partnerships is nearly invisible to drivers, whose consent is obtained in fine print and murky privacy policies that few read.

The Atlas of Surveillance Removes Ring, Adds Third-Party Investigative Platforms

8 March 2024 at 16:32

Running the Atlas of Surveillance, our project to map and inventory police surveillance across the United States, means experiencing emotional extremes.

Whenever we announce that we've added new data points to the Atlas, it comes with a great sense of satisfaction. That's because it almost always means that we're hundreds or even thousands of steps closer to achieving what only a few years ago would've seemed impossible: comprehensively documenting the surveillance state through our partnership with students at the University of Nevada, Reno Reynolds School of Journalism.

At the same time, it's depressing as hell. That's because it also reflects how quickly and dangerously the surveillance technology is metastasizing.

We have the exact opposite feeling when we remove items from the Atlas of Surveillance. It's a little sad to see our numbers drop, but at the same time that change in data usually means that a city or county has eliminated a surveillance program.

That brings us to the biggest change in the Atlas since our launch in 2018. This week, we removed 2,530 data points: an entire category of surveillance. With the announcement from Amazon that its home surveillance company Ring will no longer facilitate warrantless requests for consumer video footage, we've decided to sunset that particular dataset.

While law enforcement agencies still maintain accounts on Ring's Neighbors social network, it seems to serve as a communications tool, a function on par with services like Nixle and Citizen, which we currently don't capture in the Atlas. That's not to say law enforcement won't be gathering footage from Ring cameras: they will, through legal process or by directly asking residents to give them access via the Fusus platform. But that type of surveillance doesn't result from merely having a Neighbors account (agencies without accounts can use these methods to obtain footage), which was what our data documented. You can still find out which agencies are maintaining camera registries through the Atlas. 

Ring's decision was a huge victory – and the exact outcome EFF and other civil liberties groups were hoping for. It also has opened up our capacity to track other surveillance technologies growing in use by law enforcement. If we were going to remove a category, we decided we should add one too.

Atlas of Surveillance users will now see a new type of technology: Third-Party Investigative Platforms, or TPIPs. Commons TPIP products include Thomson Reuters CLEAR, LexisNexis Accurint Virtual Crime Center, TransUnion TLOxp, and SoundThinking CrimeTracer (formerly Coplink X from Forensic Logic). These are technologies we've been watching for awhile, but have been struggling to categorize and define. But here's the definition we've come up with:

Third-Party Investigative Platforms are cloud-based software systems that law enforcement agencies subscribe to in order to access, share, mine, and analyze various sources of investigative data. Some of the data the agencies upload themselves, but the systems also provide access to data from other law enforcement, as well as from commercial sources and data brokers. Many products offer AI features, such as pattern identification, face recognition, and predictive analytics. Some agencies employ multiple TPIPs.

We are calling this new category a beta feature in the Atlas, since we are still figuring out how best to research and compile this data nationwide. You'll find fairly comprehensive data on the use of CrimeTracer in Tennessee and Massachusetts, because both states provide the software to local law enforcement agencies throughout the state. Similarly, we've got a large dataset for the use of the Accurint Virtual Crime Center in Colorado, due to a statewide contract. (Big thanks to Prof. Ran Duan's Data Journalism students for working with us to compile those lists!) We've also added more than 60 other agencies around the country, and we expect that dataset to grow as we hone our research methods.

If you've got information on the use of TPIPs in your area, don't hesitate to reach out. You can email us at aos@eff.org, submit a tip through our online form, or file a public records request using the template that EFF and our students have developed to reveal the use of these platforms. 

Surveillance through Push Notifications

6 March 2024 at 07:06

The Washington Post is reporting on the FBI’s increasing use of push notification data—”push tokens”—to identify people. The police can request this data from companies like Apple and Google without a warrant.

The investigative technique goes back years. Court orders that were issued in 2019 to Apple and Google demanded that the companies hand over information on accounts identified by push tokens linked to alleged supporters of the Islamic State terrorist group.

But the practice was not widely understood until December, when Sen. Ron Wyden (D-Ore.), in a letter to Attorney General Merrick Garland, said an investigation had revealed that the Justice Department had prohibited Apple and Google from discussing the technique.

[…]

Unlike normal app notifications, push alerts, as their name suggests, have the power to jolt a phone awake—a feature that makes them useful for the urgent pings of everyday use. Many apps offer push-alert functionality because it gives users a fast, battery-saving way to stay updated, and few users think twice before turning them on.

But to send that notification, Apple and Google require the apps to first create a token that tells the company how to find a user’s device. Those tokens are then saved on Apple’s and Google’s servers, out of the users’ reach.

The article discusses their use by the FBI, primarily in child sexual abuse cases. But we all know how the story goes:

“This is how any new surveillance method starts out: The government says we’re only going to use this in the most extreme cases, to stop terrorists and child predators, and everyone can get behind that,” said Cooper Quintin, a technologist at the advocacy group Electronic Frontier Foundation.

“But these things always end up rolling downhill. Maybe a state attorney general one day decides, hey, maybe I can use this to catch people having an abortion,” Quintin added. “Even if you trust the U.S. right now to use this, you might not trust a new administration to use it in a way you deem ethical.”

We Flew a Plane Over San Francisco to Fight Proposition E. Here's Why.

29 February 2024 at 15:19

Proposition E, which San Franciscans will be asked to vote on in the March 5 election, is so dangerous that last weekend we chartered a plane to inform our neighbors about what the ballot measure does and urge them to vote NO on it. If you were in Dolores Park, Golden Gate Park, Chinatown, or anywhere in between on Saturday, there’s a chance you saw it, with a huge banner flying through the sky: “No Surveillance State! No on Prop E.”

Despite the fact that the San Francisco Chronicle has endorsed a NO vote on Prop E, and even quoted some police who don’t find its changes useful to keeping the public safe, proponents of Prop E have raised over $1 million to push this unnecessary, ill-thought out, and downright dangerous ballot measure.

San Francisco, Say NOPE: Vote NO on Prop E on March 5

A plane flying over san francsico skyline carrying a banner asking people to vote no on Prop E

What Does Prop E Do?

Prop E is a haphazard mess of proposals that tries to capitalize on residents’ fear of crime in an attempt to gut commonsense democratic oversight of the San Francisco Police Department (SFPD). In addition to removing certain police oversight authority from the civilian-staffed Police Commission and expanding the circumstances under which police may conduct high-speed vehicle chases, Prop E would also amend existing law passed in 2019 to protect San Franciscans from invasive, untested, or biased police surveillance technologies. Currently, if the SFPD wants to acquire a new technology, they must provide a detailed use policy to the democratically-elected Board of Supervisors, in a process that allows for public comment. The Board then votes on whether and how the police can use the technology.

Prop E guts these protective measures designed to bring communities into the conversation about public safety. If Prop E passes on March 5, then the SFPD can unilaterally use any technology they want for a full year without the Board’s approval, without publishing an official policy about how they’d use the technology, and without allowing community members to voice their concerns.

A plane flying over san francsico skyline carrying a banner asking people to vote no on Prop E

Why is Prop E Dangerous and Unnecessary?

Across the country, police often buy and deploy surveillance equipment without residents of their towns even knowing what police are using or how they’re using it. This means that dangerous technologies—technologies other cities have even banned—are being used without any transparency, accountability, or democratic control.

San Franciscans advocated for and overwhelmingly supported a law that provides them with more knowledge of, and a voice in, what technologies the police use. Under current law, if the SFPD wanted to use racist predictive policing algorithms that U.S. Senators are currently advising the Department of Justice to stop funding or if the SFPD wanted to buy up geolocation data being harvested from people’s cells phones and sold on the advertising data broker market, they have to let the public know and put it to a vote before the city’s democratically-elected governing body first. Prop E would gut any meaningful democratic check on police’s acquisition and use of surveillance technologies.

What Technology Would Prop E Allow Police to Use?

That's the thing—we don't know, and if Prop E passes, we may never know. Today, if the SFPD decides to use a piece of surveillance technology, there is a process for sharing that information with the public. With Prop E, that process won't happen until the technology has been in use for a full year. And if police abandon use of a technology before a year, we may never find out what technology police tried out and how they used it. 

Even though we don't know what technologies the SFPD is eyeing, we do know what technologies other police departments have been buying in cities around the country: AI-based “predictive policing,” and social media scanning tools are just two examples. And according to the City Attorney, Prop E would even enable the SFPD to outfit surveillance tools such as drones and surveillance cameras with face recognition technology. San Francisco currently has a ban on police using remote-controlled robots to deploy deadly force, but if passed, Prop E would allow police to invest in technologies like taser-armed drones without any oversight or potential for elected officials to block the sale. 

Don’t let police experiment on San Franciscans with dangerous, untested surveillance technologies. Say NOPE to a surveillance state. Vote NO on Prop E on March 5.  

EFF to D.C. Circuit: The U.S. Government’s Forced Disclosure of Visa Applicants’ Social Media Identifiers Harms Free Speech and Privacy

27 February 2024 at 16:24

Special thanks to legal intern Alissa Johnson, who was the lead author of this post.

EFF recently filed an amicus brief in the U.S. Court of Appeals for the D.C. Circuit urging the court to reverse a lower court decision upholding a State Department rule that forces visa applicants to the United States to disclose their social media identifiers as part of the application process. If upheld, the district court ruling has severe implications for free speech and privacy not just for visa applicants, but also the people in their social media networks—millions, if not billions of people, given that the “Disclosure Requirement” applies to 14.7 million visa applicants annually.

Since 2019, visa applicants to the United States have been required to disclose social media identifiers they have used in the last five years to the U.S. government. Two U.S.-based organizations that regularly collaborate with documentary filmmakers around the world sued, challenging the policy on First Amendment and other grounds. A federal judge dismissed the case in August 2023, and plaintiffs filed an appeal, asserting that the district court erred in applying an overly deferential standard of review to plaintiffs’ First Amendment claims, among other arguments.

Our amicus brief lays out the privacy interests that visa applicants have in their public-facing social media profiles, the Disclosure Requirement’s chilling effect on the speech of both applicants and their social media connections, and the features of social media platforms like Facebook, Instagram, and X that reinforce these privacy interests and chilling effects.

Social media paints an alarmingly detailed picture of users’ personal lives, covering far more information that that can be gleaned from a visa application. Although the Disclosure Requirement implicates only “public-facing” social media profiles, registering these profiles still exposes substantial personal information to the U.S. government because of the number of people impacted and the vast amounts of information shared on social media, both intentionally and unintentionally. Moreover, collecting data across social media platforms gives the U.S. government access to a wealth of information that may reveal more in combination than any individual question or post would alone. This risk is even further heightened if government agencies use automated tools to conduct their review—which the State Department has not ruled out and the Department of Homeland Security’s component Customs and Border Protection has already begun doing in its own social media monitoring program. Visa applicants may also unintentionally reveal personal information on their public-facing profiles, either due to difficulties in navigating default privacy setting within or across platforms, or through personal information posted by social media connections rather than the applicants themselves.

The Disclosure Requirement’s infringements on applicants’ privacy are further heightened because visa applicants are subject to social media monitoring not just during the visa vetting process, but even after they arrive in the United States. The policy also allows for public social media information to be stored in government databases for upwards of 100 years and shared with domestic and foreign government entities.  

Because of the Disclosure Requirement’s potential to expose vast amounts of applicants’ personal information, the policy chills First Amendment-protected speech of both the applicant themselves and their social media connections. The Disclosure Requirement allows the government to link pseudonymous accounts to real-world identities, impeding applicants’ ability to exist anonymously in online spaces. In response, a visa applicant might limit their speech, shut down pseudonymous accounts, or disengage from social media altogether. They might disassociate from others for fear that those connections could be offensive to the U.S. government. And their social media connections—including U.S. persons—might limit or sever online connections with friends, family, or colleagues who may be applying for a U.S. visa for fear of being under the government’s watchful eye.  

The Disclosure Requirement hamstrings the ability of visa applicants and their social media connections to freely engage in speech and association online. We hope that the D.C. Circuit reverses the district court’s ruling and remands the case for further proceedings.

China Surveillance Company Hacked

27 February 2024 at 07:03

Last week, someone posted something like 570 files, images and chat logs from a Chinese company called I-Soon. I-Soon sells hacking and espionage services to Chinese national and local government.

Lots of details in the news articles.

These aren’t details about the tools or techniques, more the inner workings of the company. And they seem to primarily be hacking regionally.

Dozens of Police Agencies in California Are Still Sharing Driver Locations with Anti-Abortion States. We're Fighting Back.

pOver the last decade, California has built up some of the nation’s strongest driver privacy protections, thanks to the hard work of activists, civil rights groups, and elected leaders./p pOne law in particular, often called a href=https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201920200SB34SB 34/a, prohibits police from circulating detailed maps of people’s driving patterns with the federal government and agencies in other states– a protection that has only grown more important with the end of iRoe v. Wade/i and the subsequent surge in abortion criminalization./p pBut dozens of California police departments have decided to defy the law, even after receiving a href=https://oag.ca.gov/system/files/media/2023-dle-06.pdfclear guidance/a from California Attorney General Rob Bonta, the chief law enforcement officer in the state. Last month the ACLU of Northern California and our partners a href=https://www.aclunc.org/sites/default/files/2024-01-31_letter_to_ag_bonta_re_sb_34_final.pdfsent Attorney General Bonta a letter/a listing 35 police agencies that have refused to comply with the law and protect driver privacy./p pWe should all be able to drive to a doctor’s office, place of worship, or political rally without being tracked and cataloged by police agencies. But for years now, police have used automated license plate readers (ALPRs) to record and track the movements of drivers on a previously unseen scale. These a href=https://www.aclu.org/documents/you-are-being-tracked-how-license-plate-readers-are-being-used-record-americans-movementssystems/a allow police to collect and store information about drivers whose cars pass through ALPR cameras’ fields of view, which, along with the date and time of capture, can reveal sensitive details about our movements and, as a result, our private lives./p div class=mp-md wp-link div class=wp-link__img-wrapper a href=https://www.aclu.org/documents/you-are-being-tracked-how-license-plate-readers-are-being-used-record-americans-movements target=_blank tabindex=-1 img width=1120 height=788 src=https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM.png class=attachment-4x3_full size-4x3_full alt=A highway with fast moving cars. decoding=async loading=lazy srcset=https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM.png 1120w, https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM-768x540.png 768w, https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM-400x281.png 400w, https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM-600x422.png 600w, https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM-800x563.png 800w, https://www.aclu.org/wp-content/uploads/2024/02/Screen-Shot-2024-02-13-at-12.35.20-PM-1000x704.png 1000w sizes=(max-width: 1120px) 100vw, 1120px / /a /div div class=wp-link__title a href=https://www.aclu.org/documents/you-are-being-tracked-how-license-plate-readers-are-being-used-record-americans-movements target=_blank You Are Being Tracked: How License Plate Readers Are Being Used to Record Americans' Movements /a /div div class=wp-link__source p-4 px-6-tablet a href=https://www.aclu.org/documents/you-are-being-tracked-how-license-plate-readers-are-being-used-record-americans-movements target=_blank tabindex=-1 p class=is-size-7Source: American Civil Liberties Union/p /a /div /div pThe ACLU has long seen the danger ALPR surveillance poses, and working alongside communities on the ground, has fought to bolster California’s legal protections for driver privacy. For over a decade, we have conducted investigations, advocacy, and litigation focused on how police agencies use ALPR to track law-abiding drivers, amass hordes of sensitive information, and use it to harm people./p pIn the wake of a href=http://chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.aclu.org/files/assets/071613-aclu-alprreport-opt-v05.pdfACLU’s groundbreaking report/a on ALPR across the US, a href=https://www.aclunc.org/blog/use-automated-license-plate-readers-expanding-northern-california-and-data-shared-fedswe called out/a police use of ALPRs in 2013 as a threat to driver privacy and warned that California lacked statewide driver privacy protections. In 2016, thanks in part to the advocacy of the ACLU and a href=https://www.eff.org/deeplinks/2015/10/success-sacramento-four-new-laws-one-veto-all-victories-privacy-and-transparencyallies/a, the California legislature passed a href=https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201920200SB34SB 34/a, the law at issue today. In a href=https://www.aclu.org/news/immigrants-rights/documents-reveal-ice-using-driver-location-data2019/a we discovered Immigration and Customs Enforcement’s (ICE) exploitation of ALPR-collected information to track and target immigrants in California and across the United States./p pFrom there, we took action to enforce California’s driver privacy protections. In a href=https://www.aclunc.org/news/california-activists-sue-marin-county-sheriff-illegally-sharing-drivers-license-plate-data-ice2021/a we sued Marin County, California for illegally sharing millions of local drivers’ license plates and locations with federal and out-of-state agencies, including ICE. The sheriff eventually agreed to comply with SB 34 as part of a a href=https://www.aclunc.org/our-work/legal-docket/lagleva-v-doyle-license-plate-surveillance#:~:text=In%20May%202022%2C%20the%20plaintiffs,54.settlement agreement/a, but we believed that many other California police agencies were still violating SB 34./p pWe rang the alarm again in the wake of the iDobbs /idecision overturning iRoe v. Wade./i Alongside our partners at the Electronic Frontier Foundation and ACLU of Southern California, we a href=https://www.aclunc.org/news/civil-liberties-groups-demand-california-police-stop-sharing-drivers-location-data-police-antisent letters to over 70 law enforcement agencies in California/a demanding they stop sharing people’s driving patterns with states that have criminalized abortion care. We also notified the attorney general’s office of these violations./p pFollowing our letters, the attorney general issued a href=https://oag.ca.gov/system/files/media/2023-dle-06.pdfinstructions/a to police across the state to follow SB 34’s plain text and cease sharing license plate information with state and federal agencies outside California. While some agencies have come into compliance, many police are digging in and refusing to follow the law. Police lobbyists have even a href=https://www.eff.org/files/2024/01/23/bulletin_reponse_letter.03_jrt_final.khb_.02.pdfasked/a the attorney general to withdraw his interpretation of the law./p pSimply put, the position touted by police agencies and their lobbyists puts Californians at risk. SB 34 is important because when police track and share the locations of law-abiding drivers, that information can easily be used to facilitate racist policing, a href=https://www.buzzfeednews.com/article/alexcampbell/the-ticket-machinepunitive fees/a, and the a href=https://www.ap.org/ap-in-the-news/2012/with-cameras-informants-nypd-eyed-mosquesdiscriminatory targeting/a of people in California and beyond. And, as a href=https://www.eff.org/files/2023/05/24/tracy.pdfour letters warned/a, when California shares ALPR information with authorities in states with anti-abortion or anti-trans laws, police and prosecutors gain new power to track and prosecute people who traveled to California to receive reproductive or gender-affirming care./p pWe should all be able to travel safely on the state’s roads without our movements being handed to authorities outside the state. That is why we have continued to push California police agencies to follow California’s driver privacy law. And it’s why we have supported localities a href=https://www.aclunc.org/blog/alameda-rejects-surveillance-deal-company-tied-icethat reject/a ALPR programs at odds with their values./p pIt is unacceptable that police agencies charged with enforcing laws are refusing to comply with this one. While we are pleased with Attorney General Bonta’s strong statement on SB 34, we urge the attorney general to use all available means at his disposal to ensure compliance. And rest assured, that the ACLU will continue fighting to enact and enforce protections that keep all of us safe, no matter where we go in the state./p piThis article was a href=https://www.aclunc.org/blog/californians-fought-hard-driver-privacy-protections-why-are-police-refusing-follow-themoriginally featured/a on the blog of the ACLU of Northern California./i/p div class=rss-cta__titleWe need you with us to keep fighting/diva href=https://action.aclu.org/give/now class=rss-cta__buttonDonate today/a/div

Draft UN Cybercrime Treaty Could Make Security Research a Crime, Leading 124 Experts to Call on UN Delegates to Fix Flawed Provisions that Weaken Everyone’s Security

7 February 2024 at 10:56

Security researchers’ work discovering and reporting vulnerabilities in software, firmware,  networks, and devices protects people, businesses and governments around the world from malware, theft of  critical data, and other cyberattacks. The internet and the digital ecosystem are safer because of their work.

The UN Cybercrime Treaty, which is in the final stages of drafting in New York this week, risks criminalizing this vitally important work. This is appalling and wrong, and must be fixed.

One hundred and twenty four prominent security researchers and cybersecurity organizations from around the world voiced their concern today about the draft and called on UN delegates to modify flawed language in the text that would hinder researchers’ efforts to enhance global security and prevent the actual criminal activity the treaty is meant to rein in.

Time is running out—the final negotiations over the treaty end Feb. 9. The talks are the culmination of two years of negotiations; EFF and its international partners have
raised concerns over the treaty’s flaws since the beginning. If approved as is, the treaty will substantially impact criminal laws around the world and grant new expansive police powers for both domestic and international criminal investigations.

Experts who work globally to find and fix vulnerabilities before real criminals can exploit them said in a statement today that vague language and overbroad provisions in the draft increase the risk that researchers could face prosecution. The draft fails to protect the good faith work of security researchers who may bypass security measures and gain access to computer systems in identifying vulnerabilities, the letter says.

The draft threatens security researchers because it doesn’t specify that access to computer systems with no malicious intent to cause harm, steal, or infect with malware should not be subject to prosecution. If left unchanged, the treaty would be a major blow to cybersecurity around the world.

Specifically, security researchers seek changes to Article 6,
which risks criminalizing essential activities, including accessing systems without prior authorization to identify vulnerabilities. The current text also includes the ambiguous term “without right” as a basis for establishing criminal liability for unauthorized access. Clarification of this vague language as well as a  requirement that unauthorized access be done with malicious intent is needed to protect security research.

The signers also called out Article 28(4), which empowers States to force “any individual” with knowledge of computer systems to turn over any information necessary to conduct searches and seizures of computer systems.
This dangerous paragraph must be removed and replaced with language specifying that custodians must only comply with lawful orders to the extent of their ability.

There are many other problems with the draft treaty—it lacks human rights safeguards, gives States’ powers to reach across borders to surveil and collect personal information of people in other States, and forces tech companies to collude with law enforcement in alleged cybercrime investigations.

EFF and its international partners have been and are pressing hard for human rights safeguards and other fixes to ensure that the fight against cybercrime does not require sacrificing fundamental rights. We stand with security researchers in demanding amendments to ensure the treaty is not used as a tool to threaten, intimidate, or prosecute them, software engineers, security teams, and developers.

 For the statement:
https://www.eff.org/deeplinks/2024/02/protect-good-faith-security-research-globally-proposed-un-cybercrime-treaty

For more on the treaty:
https://ahc.derechosdigitales.org/en/

What is Proposition E and Why Should San Francisco Voters Oppose It?

2 February 2024 at 18:39

If you live in San Francisco, there is an election on March 5, 2024 during which voters will decide a number of specific local ballot measures—including Proposition E. Proponents of Proposition E have raised over $1 million …but what does the measure actually do? This will break down what the initiative actually does, why it is dangerous for San Franciscans, and why you should oppose it.

What Does Proposition E Do?

Proposition E is a “kitchen sink" approach to public safety that capitalizes on residents’ fear of crime in an attempt to gut common-sense democratic oversight of the San Francisco Police Department (SFPD). In addition to removing certain police oversight authority from the Police Commission and expanding the circumstances under which police may conduct high-speed vehicle chases, Proposition E would also amend existing laws passed in 2019 to protect San Franciscans from invasive, untested, or biased police technologies.

Currently, if police want to acquire a new technology, they have to go through a procedure known as CCOPS—Community Control Over Police Surveillance. This means that police need to explain why they need a new piece of technology and provide a detailed use policy to the democratically-elected Board of Supervisors, who then vote on it. The process also allows for public comment so people can voice their support for, concerns about, or opposition to the new technology. This process is in no way designed to universally deny police new technologies. Instead, it ensures that when police want new technology that may have significant impacts on communities, those voices have an opportunity to be heard and considered. San Francisco police have used this procedure to get new technological capabilities as recently as Fall 2022 in a way that stimulated discussion, garnered community involvement and opposition (including from EFF), and still passed.

Proposition E guts these common-sense protective measures designed to bring communities into the conversation about public safety. If Proposition E passes on March 5, then the SFPD can use any technology they want for a full year without publishing an official policy about how they’d use the technology or allowing community members to voice their concerns—or really allowing for any accountability or transparency at all.

Why is Proposition E Dangerous and Unnecessary?

Across the country, police often buy and deploy surveillance equipment without residents of their towns even knowing what police are using or how they’re using it. This means that dangerous technologies—technologies other cities have even banned—are being used without any transparency or accountability. San Franciscans advocated for and overwhelmingly supported a law that provides them with more knowledge of, and a voice in, what technologies the police use. Under the current law, if the SFPD wanted to use racist predictive policing algorithms that U.S. Senators are currently advising the Department of Justice to stop funding or if the SFPD wanted to buy up geolocation data being harvested from people’s cells phones and sold on the advertising data broker market, they have to let the public know and put it to a vote before the city’s democratically-elected governing body first. Proposition E would gut any meaningful democratic check on police’s acquisition and use of surveillance technologies.

It’s not just that these technologies could potentially harm San Franciscans by, for instance, directing armed police at them due to reliance on a faulty algorithm or putting already-marginalized communities at further risk of overpolicing and surveillance—it’s also important to note that studies find that these technologies just don’t work. Police often look to technology as a silver bullet to fight crime, despite evidence suggesting otherwise. Oversight over what technology the SFPD uses doesn’t just allow for scrutiny of discriminatory and biased policing, it also introduces a much-needed dose of reality. If police want to spend hundreds of thousands of dollars a year on software that has a success rate of .6% at predicting crime, they should have to go through a public process before they fork over taxpayer dollars. 

What Technology Would Proposition E Allow the Police to Use?

That's the thing—we don't know, and if Proposition E passes, we may never know. Today, if police decide to use a piece of surveillance technology, there is a process for sharing that information with the public. With Proposition E, that process won't happen until the technology has been in use for a full year. And if police abandon use of a technology before a year, we may never find out what technology police tried out and how they used it. Even though we don't know what technologies the SFPD are eyeing, we do know what technologies other police departments have been buying in cities around the country: AI-based “predictive policing,” and social media scanning tools are just two examples. And According to the City Attorney, Proposition E would even enable the SFPD to outfit surveillance tools such as drones and surveillance cameras with face recognition technology.

Why You Should Vote No on Proposition E

San Francisco, like many other cities, has its problems, but none of those problems will be solved by removing oversight over what technologies police spend our public money on and deploy in our neighborhoods—especially when so much police technology is known to be racially biased, invasive, or faulty. Voters should think about what San Francisco actually needs and how Proposion E is more likely to exacerbate the problems of police violence than it is to magically erase crime in the city. This is why we are urging a NO vote on Proposition E on the March 5 ballot.

San Francisco Police’s Live Surveillance Yields Almost 200 Hours of Spying–Including of Music Festivals

2 February 2024 at 16:21

A new report reveals that in just three months, from July 1 to September 30, 2023,  the San Francisco Police Department (SFPD) racked up 193 hours and 19 minutes of live access to non-city surveillance cameras. That means for the equivalent of 8 days, police sat behind a desk and tapped into hundreds of cameras, ostensibly including San Francisco’s extensive semi-private security camera networks, to watch city residents, workers, and visitors live. An article by the San Francisco Chronicle analyzing the report also uncovered that the SFPD tapped into these cameras to watch 42 hours of live footage during the Outside Lands music festival.

The city’s Board of Supervisors granted police permission to get live access to these cameras in September 2022 as part of a 15-month pilot program to see if allowing police to conduct widespread, live surveillance would create more safety for all people. However, even before this legislation’s passage, the SFPD covertly used non-city security cameras to monitor protests and other public events. In fact, police and the rich man who funded large networks of semi-private surveillance cameras both claimed publicly that the police department could easily access historic footage of incidents after the fact to help build cases, but could not peer through the cameras live. This claim was debunked by EFF and other investigators who revealed that police requested live access to semi-private cameras to monitor protests, parades, and public events—despite being the type of activity protected by the First Amendment.

When the Board of Supervisors passed this ordinance, which allowed police live access to non-city cameras for criminal investigations (for up to 24 hours after an incident) and for large-scale events, we warned that police would use this newfound power to put huge swaths of the city under surveillance—and we were unfortunately correct.

The most egregious example from the report is the 42 hours of live surveillance conducted during the Outside Lands music festival, which yielded five arrests for theft, pickpocketing, and resisting arrest—and only one of which resulted in the District Attorney’s office filing charges. Despite proponents’ arguments that live surveillance would promote efficiency in policing, in this case, it resulted in a massive use of police resources with little to show for it.

There still remain many unanswered questions about how the police are using these cameras. As the Chronicle article recognized:

…nearly a year into the experiment, it remains unclear just how effective the strategy of using private cameras is in fighting crime in San Francisco, in part because the Police Department’s disclosures don’t provide information on how live footage was used, how it led to arrests and whether police could have used other methods to make those arrests.

The need for greater transparency—and at minimum, for the police to follow all reporting requirements mandated by the non-city surveillance camera ordinance—is crucial to truly evaluate the impact that access to live surveillance has had on policing. In particular, the SFPD’s data fails to make clear how live surveillance helps police prevent or solve crimes in a way that footage after the fact does not. 

Nonetheless, surveillance proponents tout this report as showing that real-time access to non-city surveillance cameras is effective in fighting crime. Many are using this to push for a measure on the March 5, 2024 ballot, Proposition E, which would roll back police accountability measures and grant even more surveillance powers to the SFPD. In particular, Prop E would allow the SFPD a one-year pilot period to test out any new surveillance technology, without any use policy or oversight by the Board of Supervisors. As we’ve stated before, this initiative is bad all around—for policing, for civil liberties, and for all San Franciscans.

Police in San Francisco still don’t get it. They can continue to heap more time, money, and resources into fighting oversight and amassing all sorts of surveillance technology—but at the end of the day, this still won’t help combat the societal issues the city faces. Technologies touted as being useful in extreme cases will just end up as an oversized tool for policing misdemeanors and petty infractions, and will undoubtedly put already-marginalized communities further under the microscope. Just as it’s time to continue asking questions about what live surveillance helps the SFPD accomplish, it’s also time to oppose the erosion of existing oversight by voting NO on Proposition E on March 5. 

San Francisco: Vote No on Proposition E to Stop Police from Testing Dangerous Surveillance Technology on You

25 January 2024 at 13:14

San Francisco voters will confront a looming threat to their privacy and civil liberties on the March 5, 2024 ballot. If Proposition E passes, we can expect the San Francisco Police Department (SFPD) will use untested and potentially dangerous technology on the public, any time they want, for a full year without oversight. How do we know this? Because the text of the proposition explicitly permits this, and because a city government proponent of the measure has publicly said as much.

play
Privacy info. This embed will serve content from youtube.com

While discussing Proposition E at a November 13, 2023 Board of Supervisors meeting, the city employee said the new rule, “authorizes the department to have a one-year pilot period to experiment, to work through new technology to see how they work.” Just watch the video above if you want to witness it being said for yourself.

They also should know how these technologies will impact communities, rather than taking a deploy-first and ask-questions-later approach...

Any privacy or civil liberties proponent should find this statement appalling. Police should know how technologies work (or if they work) before they deploy them on city streets. They also should know how these technologies will impact communities, rather than taking a deploy-first and ask-questions-later approach—which all but guarantees civil rights violations.

This ballot measure would erode San Francisco’s landmark 2019 surveillance ordinance that requires city agencies, including the police department, to seek approval from the democratically-elected Board of Supervisors before acquiring or deploying new surveillance technologies. Agencies also must provide a report to the public about exactly how the technology would be used. This is not just an important way of making sure people who live or work in the city have a say in surveillance technologies that could be used to police their communitiesit’s also by any measure a commonsense and reasonable provision. 

However, the new ballot initiative attempts to gut the 2019 surveillance ordinance. The measure says “..the Police Department may acquire and/or use a Surveillance Technology so long as it submits a Surveillance Technology Policy to the Board of Supervisors for approval by ordinance within one year of the use or acquisition, and may continue to use that Surveillance Technology after the end of that year unless the Board adopts an ordinance that disapproves the Policy…”  In other words, police would be able to deploy virtually any new surveillance technology they wished for a full year without any oversight, accountability, transparency, or semblance of democratic control.

This ballot measure would turn San Francisco into a laboratory where police are given free rein to use the most unproven, dangerous technologies on residents and visitors without regard for criticism or objection.

This ballot measure would turn San Francisco into a laboratory where police are given free rein to use the most unproven, dangerous technologies on residents and visitors without regard for criticism or objection. That’s one year of police having the ability to take orders from faulty and racist algorithms. One year during which police could potentially contract with companies that buy up geolocation data from millions of cellphones and sift through the data.

Trashing important oversight mechanisms that keep police from acting without democratic checks and balances will not make the city safer. With all of the mind-boggling, dangerous, nearly-science fiction surveillance technologies currently available to local police, we must ensure that the medicine doesn’t end up doing more damage to the patient. But that’s exactly what will happen if Proposition E passes and police are able to expose already marginalized and over-surveilled communities to a new and less accountable generation of surveillance technologies. 

So, tell your friends. Tell your family. Shout it from the rooftops. Talk about it with strangers when you ride MUNI or BART. We have to get organized so we can, as a community, vote NO on Proposition E on the March 5, 2024 ballot. 

Victory! Ring Announces It Will No Longer Facilitate Police Requests for Footage from Users

24 January 2024 at 14:09

Amazon’s Ring has announced that it will no longer facilitate police's warrantless requests for footage from Ring users. This is a victory in a long fight, not just against blanket police surveillance, but also against a culture in which private, for-profit companies build special tools to allow law enforcement to more easily access companies’ users and their data—all of which ultimately undermine their customers’ trust.

This announcement will also not stop police from trying to get Ring footage directly from device owners without a warrant. Ring users should also know that when police knock on their door, they have the right to—and should—request that police get a warrant before handing over footage.

Years ago, after public outcry and a lot of criticism from EFF and other organizations, Ring ended its practice of allowing police to automatically send requests for footage to a user’s email inbox, opting instead for a system where police had to publicly post requests onto Ring’s Neighbors app. Now, Ring hopefully will altogether be out of the business of platforming casual and warrantless police requests for footage to its users. This is a step in the right direction, but has come after years of cozy relationships with police and irresponsible handling of data (for which they reached a settlement with the FTC). We also helped to push Ring to implement end-to-end encryption. Ring has been forced to make some important concessions—but we still believe the company must do more. Ring can enable their devices to be encrypted end-to-end by default and turn off default audio collection, which reports have shown collect audio from greater distances than initially assumed. We also remain deeply skeptical about law enforcement’s and Ring’s ability to determine what is, or is not, an emergency that requires the company to hand over footage without a warrant or user consent.

Despite this victory, the fight for privacy and to end Ring’s historic ill-effects on society aren’t over. The mass existence of doorbell cameras, whether subsidized and organized into registries by cities or connected and centralized through technologies like Fusus, will continue to threaten civil liberties and exacerbate racial discrimination. Many other companies have also learned from Ring’s early marketing tactics and have sought to create a new generation of police-advertisers who promote the purchase and adoption of their technologies. This announcement will also not stop police from trying to get Ring footage directly from device owners without a warrant. Ring users should also know that when police knock on their door, they have the right to—and should—request that police get a warrant before handing over footage. 

States Attack Young People’s Constitutional Right to Use Social Media: 2023 Year in Review

30 December 2023 at 10:58

Legislatures in more than half of the country targeted young people’s use of social media this year, with many of the proposals blocking adults’ ability to access the same sites. State representatives introduced dozens of bills that would limit young people’s use of some of the most popular sites and apps, either by requiring the companies to introduce or amend their features or data usage for young users, or by forcing those users to get permission from parents, and in some cases, share their passwords, before they can log on. Courts blocked several of these laws for violating the First Amendment—though some may go into effect later this year. 

Fourteen months after California passed the AADC, it feels like a dam has broken.

How did we get to a point where state lawmakers are willing to censor large parts of the internet? In many ways, California’s Age Appropriate Design Code Act (AADC), passed in September of 2022, set the stage for this year’s battle. EFF asked Governor Newsom to veto that bill before it was signed into law, despite its good intentions in seeking to protect the privacy and well-being of children. Like many of the bills that followed it this year, it runs the risk of imposing surveillance requirements and content restrictions on a broader audience than intended. A federal court blocked the AADC earlier this year, and California has appealed that decision.

Fourteen months after California passed the AADC, it feels like a dam has broken: we’ve seen dangerous social media regulations for young people introduced across the country, and passed in several states, including Utah, Arkansas, and Texas. The severity and individual components of these regulations vary. Like California’s, many of these bills would introduce age verification requirements, forcing sites to identify all of their users, harming both minors’ and adults’ ability to access information online. We oppose age verification requirements, which are the wrong approach to protecting young people online. No one should have to hand over their driver’s license, or, worse, provide biometric information, just to access lawful speech on websites.

A Closer Look at State Social Media Laws Passed in 2023

Utah enacted the first child social media regulation this year, S.B. 152, in March. The law prohibits social media companies from providing accounts to a Utah minor, unless they have the express consent of a parent or guardian. We requested that Utah’s governor veto the bill.

We identified at least four reasons to oppose the law, many of which apply to other states’ social media regulations. First, young people have a First Amendment right to information that the law infringes upon. With S.B. 152 in effect, the majority of young Utahns will find themselves effectively locked out of much of the web absent their parents permission. Second, the law  dangerously requires parental surveillance of young peoples’ accounts, harming their privacy and free speech. Third, the law endangers the privacy of all Utah users, as it requires many sites to collect and analyze private information, like government issued identification, for every user, to verify ages. And fourth, the law interferes with the broader public’s First Amendment right to receive information by requiring that all users in Utah tie their accounts to their age, and ultimately, their identity, and will lead to fewer people expressing themselves, or seeking information online. 

Federal courts have blocked the laws in Arkansas and California.

The law passed despite these problems, as did Utah’s H.B. 311, which creates liability for social media companies should they, in the view of Utah lawmakers, create services that are addictive to minors. H.B. 311 is unconstitutional because it imposes a vague and unscientific standard for what might constitute social media addiction, potentially creating liability for core features of a service, such as letting you know that someone responded to your post. Both S.B. 152 and H.B. 311 are scheduled to take effect in March 2024.

Arkansas passed a similar law to Utah's S.B. 152 in April, which requires users of social media to prove their age or obtain parental permission to create social media accounts. A federal court blocked the Arkansas law in September, ruling that the age-verification provisions violated the First Amendment because they burdened everyone's ability to access lawful speech online. EFF joined the ACLU in a friend-of-the-court brief arguing that the statute was unconstitutional.

Texas, in June, passed a regulation similar to the Arkansas law, which would ban anyone under 18 from having a social media account unless they receive consent from parents or guardians. The law is scheduled to take effect in September 2024.

Given the strong constitutional protections for people, including children, to access information without having to identify themselves, federal courts have blocked the laws in Arkansas and California. The Utah and Texas laws are likely to suffer the same fate. EFF has warned that such laws were bad policy and would not withstand court challenges, in large part because applying online regulations specifically to young people often forces sites to use age verification, which comes with a host of problems, legal and otherwise. 

To that end, we spent much of this year explaining to legislators that comprehensive data privacy legislation is the best way to hold tech companies accountable in our surveillance age, including for harms they do to children. For an even more detailed account of our suggestions, see Privacy First: A Better Way to Address Online Harms. In short, comprehensive data privacy legislation would address the massive collection and processing of personal data that is the root cause of many problems online, and it is far easier to write data privacy laws that are constitutional. Laws that lock online content behind age gates can almost never withstand First Amendment scrutiny because they frustrate all internet users’ rights to access information and often impinge on people’s right to anonymity.

Of course, states were not alone in their attempt to regulate social media for young people. Our Year in Review post on similar federal legislation that was introduced this year covers that fight, which was successful. Our post on the UK’s Online Safety Act describes the battle across the pond. 2024 is shaping up to be a year of court battles that may determine the future of young people’s access to speak out and obtain information online. We’ll be there, continuing to fight against misguided laws that do little to protect kids while doing much to invade everyone’s privacy and speech rights.

This blog is part of our Year in Review series. Read other articles about the fight for digital rights in 2023.

Protecting Students from Faulty Software and Legislation: 2023 Year in Review

28 December 2023 at 11:25

Lawmakers, schools districts, educational technology companies and others keep rolling out legislation and software that threatens students’ privacy, free speech, and access to social media, in the name of “protecting” children. At EFF, we fought back against this overreach and demand accountability and transparency.

Bad bills and invasive monitoring systems, though sometimes well-meaning, hurt students rather than protect them from the perceived dangers of the internet and social media. We saw many efforts to bar young people, and students, from digital spaces, censor what they are allowed to see and share online, and monitor and control when and how they can do it. This makes it increasingly difficult for them to access information about everything from gun violence and drug abuse to politics and LGBTQ+ topics, all because some software or elected official considers these topics “harmful.”

In response, we doubled down on exposing faulty surveillance software, long a problem in many schools across the country. We launched a new project called the Red Flag Machine, an interactive quiz and report demonstrating the absurd inefficiency—and potential dangers—of student surveillance software that schools across the country use and that routinely invades the privacy of millions of children.

We’ll continue to fight student surveillance and censorship, and we are heartened to see students fighting back

The project grew out of our investigation of GoGuardian, computer monitoring software used in about 11,500 schools to surveil about 27 million students—mostly in middle and high school—according to the company. The software allows school officials and teachers to monitor student’s computers and devices, talk to them via chat or webcam, block sites considered “offensive,” and get alerts when students access content that the software, or the school, deems harmful or explicit.

Our investigation showed that the software inaccurately flags massive amounts of useful material. The software flagged sites about black authors and artists, the Holocaust, and the LGBTQ+ rights movement. The software flagged the official Marine Corps’ fitness guide and the bios of the cast of Shark Tank. Bible.com was flagged because the text of Genesis 3 contained the word “naked.” We found thousands more examples of mis-flagged sites.

EFF built the Red Flag Machine to expose the ludicrous results of GoGuardian’s flagging algorithm. In addition to reading our research about the software, you can take a quiz that presents websites flagged by the software, and guess which of five possible words triggered the flag. The results would be funny if they were not so potentially harmful.

Congress Takes Aim At Students and Young People

Meanwhile, Congress this year resurrected the Kids Online Safety Act (KOSA), a bill that would increase surveillance and restrict access to information in the name of protecting children online—including students. KOSA would give power to state attorneys general to decide what content on many popular online platforms is dangerous for young people, and would enable censorship and surveillance. Sites would likely be required to block important educational content, often made by young people themselves, about how to deal with anxiety, depression, eating disorders, substance use disorders, physical violence, online bullying and harassment, sexual exploitation and abuse, and suicidal thoughts. We urged Congress to reject this bill and encouraged people to tell their senators and representative that KOSA will censor the internet but not help kids. 

We also called out the brazen Eyes on the Board Act, which aims to end social media use entirely in schools. This heavy-handed bill would cut some federal funding to any school that doesn’t block all social media platforms. We can understand the desire to ensure students are focusing on schoolwork when in class, but this bill tells teachers and school officials how to do their jobs, and enforces unnecessary censorship.

Many schools already don’t allow device use in the classroom and block social media sites and other content on school issued devices. Too much social media is not a problem that teachers and administrators need the government to correct—they already have the tools and know-how to do it.

Unfortunately, we’ve seen a slew of state bills that also seek to control what students and young people can access online. There are bills in Texas, Utah, Arkansas, Florida, Montana, to name just a few, and keeping up with all this bad legislation is like a game of whack a mole.

Finally, teachers and school administrators are grappling with whether generative AI use should be allowed, and if they should deploy detection tools to find students who have used it. We think the answer to both is no. AI detection tools are very inaccurate and carry significant risks of falsely flagging students for plagiarism. And AI use is growing exponentially and will likely have significant impact on students’ lives and futures. They should be learning about and exploring generative AI now to understand some of the benefits and flaws. Demonizing it only deprives students from gaining knowledge about a technology that may change the world around us.

We’ll continue to fight student surveillance and censorship, and we are heartened to see students fighting back against efforts to supposedly protect children that actually give government control over who gets to see what content. It has never been more important for young people to defend our democracy and we’re excited to be joining with them. 

If you’re interested in learning more about protecting your privacy at school, take a look at our Surveillance Self-Defense guide on privacy for students.

This blog is part of our Year in Review series. Read other articles about the fight for digital rights in 2023.

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