❌

Normal view

Meta’s Muse AI Agent Caught Leaking Users’ Intimate Personal Information

20 October 2026 at 21:25

As Meta was scrambling to release its Muse AI agent to the public earlier last month, CEO Mark Zuckerberg took to social media to insist that it was “built from the ground up for privacy and security.”

On X-formerly-Twitter, the billionaire’s simple post soon had a correction tagged on via a community note, and for good reason: the AI agent is a font of untold privacy horrors.

As Ars Technica reported today, security researchers found Muse is capable of exposing sensitive information on its users through web links generated via a “share” feature. Investigators at the cybersecurity firm Claroc recently uncovered a simple exploit whereby they could access pages from over 6,800 links Muse had generated to share pages with other users.

The trick worked like this: once a Muse user decides they want to share something with another person — say, a copy of their chat log with Muse — the AI tool would generate a web link for that “share.” That URL included both the AI-generated title of the chat, plus a random string of characters.

When anybody opened the link, the full web address would be noted in a lookup dataset, like a phone book of web addresses that have been visited. Researchers were then able to search that set for other Muse share addresses, from which they were able to find strings of unrelated public chats.

By digging through those “phone books,” investigators were able to easily open chat logs containing detailed private information, including corporate revenue documents, loan applications, bank transaction details, income details, and one workplace vacation calendar, Ars noted.

“If you had asked us beforehand, we would have guessed that gathering these would take real effort,” the researchers wrote. Instead, “it took one query.”

Though Meta told Ars it had shut off the feature, this privacy gaffe is just the latest revelation about Muse’s many security shortcomings.

Earlier this month, it was revealed that Muse was keeping detailed files on users’ friends and families, apparently following an internal instruction to keep a running “page for every person in the user’s life.”

If Muse’s first month in public hands is any indication, this is likely just the start of a long list of security and privacy blunders for the cutesy AI model.

More on Meta: Meta Is Using Its Massive AI Data Centers to Avoid Paying Billions of Dollars in Taxes

The post Meta’s Muse AI Agent Caught Leaking Users’ Intimate Personal Information appeared first on Futurism.

Zuckerberg’s Pervert Glasses Have Been So Publicly Shamed That Meta’s Reportedly Now Working on a Version With No Camera

16 September 2026 at 20:50

In record time, Meta’s camera-adorned smart glasses have turned from a lucrative and well-reviewed consumer product into a widely-reviled and privacy-infringing tool of abuse in the arsenal of creepy men.

The backlash has grown so much that many owners of the “pervert glasses” have become too afraid to use them in public, a PR disaster for what once was an accessory that was flying off the shelves.

Meta is evidently alarmed by the growing criticism, desperately trying to implement a “kill switch” and remotely cutting off “manfluencers” by bricking their glasses.

And now, as The Information reports, the Mark Zuckerberg-led company is now looking to release a camera-free pair as well later this year — the clearest indication yet that Meta is losing in the court of public opinion.

Whether removing the camera from the glasses will be enough to assuage ongoing concerns over privacy remains to be seen. The camera-free glasses, code-named Luna, will still feature an array of six microphones to allow users to speak to the company’s AI chatbot and its recently-released AI assistant, called Muse. They’ll presumably pick up audio from users’ environments as well, where bystanders may not be aware of the eavesdropping.

The news comes just days after two families filed a proposed class action lawsuit, alleging Meta was extracting biometric information from people’s Instagram and Facebook photos to build a face-recognition system for its smart glasses.

The glasses could be the ultimate litmus test on what drew buyers to the pair of spectacles in the first place. By relying on microphones alone, Meta is betting that people are willing to shell out hundreds of dollars just to talk to its flawed AI companions — not take first-person view photos.

Project Luna could be unveiled as soon as next week’s Meta Connect conference. It’ll be interesting to see how the company will address the major backlash to its camera-equipped smart glasses, if at all. An admission that its consumer product is facilitating some incredibly creepy behavior in public feels unlikely — but it’ll certainly be the elephant in the room.

More on the glasses: Meta Is Using Instagram Users’ Photos to Build a Universal Facial Recognition System for Its Hated Smart Glasses, Class Action Lawsuit Claims

The post Zuckerberg’s Pervert Glasses Have Been So Publicly Shamed That Meta’s Reportedly Now Working on a Version With No Camera appeared first on Futurism.

LinkedIn fights for the right to tell customers when the feds want their data

16 September 2026 at 21:04

Microsoft’s top lawyer argued Tuesday that legislators “must make secrecy [orders] the exception” in government subpoenas demanding information about LinkedIn users.

LinkedIn, which is owned by Microsoft, is fighting what it calls overly broad subpoena demands from the US government, which sometimes come with secrecy orders that prevent LinkedIn from alerting customers whose information is being requested.

The company is asking federal courts “to enforce meaningful limits on both the scope of government demands and the secrecy that can accompany them,” wrote Jon Palmer, Microsoft’s chief legal officer, in a Tuesday blog post. “We recognize law enforcement’s important role in protecting public safety and investigating crime, and sometimes that does need to be done covertly. At the same time, customers and users deserve meaningful limits and independent oversight through an adversarial process.”

He pointed out: “People and organizations increasingly entrust their most sensitive information to online services. If providers cannot challenge demands they know are overbroad—or if courts may silence them without a rigorous, adversarial review—the safeguards the law requires will be weakened precisely when they are most needed.”

A tricky issue

The issue is a tricky one. Law enforcement often use this type of subpoena as an investigative tool, seeking those who are engaged in illegal activities. The theoretical justification for secrecy is to avoid alerting the investigative target to make it less likely the suspect will try to destroy evidence or flee the jurisdiction.

Government lawyers are supposed to only make secrecy requests when absolutely essential. Microsoft is suggesting that courts and congress need to step in to curtail blanket government efforts. 

“The Fourth Amendment protects the right to be free from unreasonable searches and seizures. That right applies to papers kept in a desk and it also applies when personal and business records are stored online,” Palmer wrote. “Online service providers, like LinkedIn and Microsoft, also have a First Amendment right to speak to their customers when the government obtains an order to search their private information. Secrecy may sometimes be justified, but it should be tailored to demonstrated needs and subject to meaningful review.”

He added: “The government must seek only relevant information, justify secrecy with specific evidence and infringe on speech to the least extent possible.” In his post, he pointed to a recent legislative effort in the US House of Representatives that might mitigate the issue if it ends up becoming law. 

“On August 31, the House passed legislation to rein in secret surveillance and strengthen notice protections when the government seeks data held by technology providers,” he wrote. “The reforms would place clearer limits on secrecy orders, require greater accountability, and help ensure that secrecy is the exception – not the rule. The Senate should act promptly to send these historic reforms to the President.”

LinkedIn privacy battles

LinkedIn itself is currently fighting litigation that accuses it of directly violating the privacy rights of its customers, and a federal judge this month dismissed another similar case, but gave plaintiffs permission to refile, with a caveat.

“Given LinkedIn’s further arguments that users voluntarily download browser extensions, which by their nature intentionally expose data to websites, it seems unlikely that the plaintiffs will ever be able to allege a privacy violation, much less prevail at the end of the day,” US District Court Judge Vince Chhabria wrote. “But in an abundance of caution, dismissal is with leave to amend.”

But, he added, if the amended complaint isn’t filed within 14 days, “dismissal will be with prejudice.”

Privacy now a ‘data stewardship obligation’

Jeff Valdes, a director at Acceligence, noted, “there is definitely some irony here.”

“If Microsoft wants customers to view it as a steward of their privacy when the government comes asking for their information, customers are naturally going to apply that same standard to how Microsoft and LinkedIn collect, use, protect, and disclose information themselves,” he said. “Privacy is difficult to compartmentalize. You cannot have one philosophy of customer privacy for government access, another for product design, and another for your own commercial data practices without eventually creating a credibility problem.”

Mike Wilkes, enterprise CISO at Aikido Security, agreed, pointing out, “without meaningful limits, judicial scrutiny, and an expiration mechanism, a temporary investigative necessity starts looking a lot like a permanent architecture for invisible surveillance. The individual may never have an opportunity to challenge the scope of the request, because they may never even know the request existed until prosecutors show up with an indictment.”

That, he said, “is why Microsoft’s argument matters, despite the obvious irony of LinkedIn simultaneously defending itself against privacy claims from its own users.”

But Ryan O’Leary, an IDC research director, offered a different perspective.

“Microsoft makes no bones about using the data contained within its own systems for its own purposes. Both things can be true: Microsoft can fight for the privacy of its platform while still not necessarily respecting the privacy rights of its end users,” O’Leary noted. “This seems to come down to protecting its own proprietary data sets, not some altruistic privacy crusade.”

 At the same time, Valdes pointed out, Palmer’s post highlights how deeply privacy has become a top-tier enterprise IT priority.

“Privacy is rapidly becoming a much broader data stewardship obligation,” he said. “Companies holding sensitive information increasingly have to think simultaneously about government requests, third-party access, their own collection practices, AI use, data retention and what they tell customers about all of it. If you want to be trusted as the custodian of the world’s data, customers are going to judge how you protect that data in every direction.”

However, Wilkes noted, “Microsoft does not need to be a perfect privacy saint to be right about this particular problem.”

This article originally appeared on CSOonline.

Meta Is Using Instagram Users’ Photos to Build a Universal Facial Recognition System for Its Hated Smart Glasses, Class Action Lawsuit Claims

15 September 2026 at 16:58

The public messaging surrounding Meta’s flashy smart glasses hasn’t exactly gone in the company’s favor.

The camera-equipped devices have garnered a reputation for allowing shady individuals to record strangers without their consent, garnering them the memorable pejorative of “pervert glasses.”

So when Wired revealed in June that Meta had silently added facial recognition code to the smart glasses — stoking fears that the creepy glasses could be used to identify people on the street based on biometric data — that simmering distaste grew into a major PR disaster for the company.

Meta has ever since vehemently denied that it was planning on ever releasing the tech, a feature dubbed “NameTag.” That’s despite its CTO Andrew Bosworth happily describing those plans in excruciating detail in public and arguing it would be a “great feature” — mere days after calling Wired‘s bombshell reporting “absolutely dishonest.”

Now, the company is facing a proposed class action lawsuit over the ordeal, as Wired reports, with a set of families in Illinois and California accusing the company of illegally scraping their Facebook and Instagram photos to build a massive facial recognition system for “NameTag.”

The news comes just days after a mother in Utah accused Meta of using its AI to scour Instagram and Facebook posts to reveal invasive information about her young daughters.

Meta told Wired in a statement that the latest “lawsuit is without merit and misrepresents our work.”

“We’ve been transparent about how we use people’s information to build and improve our AI products,” the a spokesperson told Wired. “As for NameTags, nothing has shipped to consumers and no final decision has been made on what to do here, if anything.”

The proposed class action accuses Meta of extracting biometric signatures from publicly available social media profiles. As Wired first noted in June, these “faceprints” appeared in the code for the AI companion app of its smart glasses.

A patent described the software as matching these signatures to profile photos. An AI image generator Meta released called Emu was also trained on a vast swath of user-uploaded images and text. The complainants accuse Meta of using this AI system to harvest biometric data.

Meta has already been caught with its pants down after allowing users to generate images inspired by public Instagram accounts, admitting that it had “missed the mark” with the feature.

The company has a long history of mishandling sensitive user data, settling a class action lawsuit in 2020 over an entirely separate facial recognition system for $650 million. In 2024, it agreed to pay $1.4 billion to settle yet another facial recognition data lawsuit in Texas.

More on Meta’s glasses: Mother Horrified When Meta’s AI Scours Instagram and Facebook for Invasive Information About Her Young Daughters

The post Meta Is Using Instagram Users’ Photos to Build a Universal Facial Recognition System for Its Hated Smart Glasses, Class Action Lawsuit Claims appeared first on Futurism.

Top Chinese Court Issues Sweeping Legal Crackdown on AI Deepfakes

11 September 2026 at 19:54

Months after China’s Intermediate People’s Court ruled against a company using AI to liquidate an employee’s position, the country’s highest judicial body has come out with another whopper: a massive crackdown on AI deepfakes.

In a new ruling on Monday, China’s Supreme People’s Court — the top judicial organ in the country — issued new guidance on how judges in lower courts should handle civil issues arising from abuse of AI tools. As the South China Morning Post reports, the court’s opinion spans 24 articles, establishing official guidance on disputes around AI-generated video and audio, sexualized content, financial misconduct, digital privacy, and surveillance pricing.

One of the key platforms of the opinion revolves around deepfakes, which are lifelike images, video, and audio modeled after existing people — tech, as the ruling observes, that can easily be used to “bring the dead back to life.” This kind of content has exploded across the internet as sophisticated generative AI models become increasingly accessible to the general public, resulting in a staggering rise in scams, misinformation, and abusive content.

“In practice, many people express their strong concerns about AI deepfakes. AI face-swapping technology can indiscriminately harvest anyone’s likeness, making ordinary people potential targets of deepfakes,” Si Yanli, deputy head of the Supreme People’s Court’s research office, said in a statement. “AI voice cloning technology can also ‘steal’ voices at a very low cost, with results that can be convincingly realistic.”

Now, the SCMP notes that courts across the People’s Republic are being advised to view disputes around such content with an eye toward protecting individual identities, personal traits, and reputations.

Beyond abuses of AI, the new opinion also includes guidance on cases of doxing, or the practice of obtaining and spreading others’ personal information online.

“Doxing has emerged as a prominent form of cyberbullying, gravely violating victims’ privacy, disturbing their daily lives and eroding public security in cyberspace,” Si explained.

It’s worth noting that China uses a civil law system, so courts don’t follow the common-law principle of stare decisis. This means that, unlike the US, lower Chinese courts aren’t automatically bound by precedent set by other court rulings.

However, guidance issued by the Supreme People’s Court carries significant legal weight, with lower court bodies required to refer to such opinions in their own rulings — making the recent issuance a hefty rebuff against potential abuses of AI.

More on AI regulation: Dozens of Humanoid Robots Gather for a Protest, Marching and Waving Signs

The post Top Chinese Court Issues Sweeping Legal Crackdown on AI Deepfakes appeared first on Futurism.

LG TVs Caught Secretly Recording Users and Scanning Their Homes For Other Devices, Even When Disconnected From the Internet

10 September 2026 at 19:20

It’s no exaggeration to say that if you own an LG smart TV, it might be spying on you.

The widely respected computer hardware experts at the YouTube channel Gamers Nexus found that the company’s boob tubes and pricey OLEDs can scan your Wi-Fi network to search for the devices you own, secretly record audio logs of your conversations using built-in microphones, and keep tabs on what you’re watching and listening to.

It collects all this data, Gamers Nexus found, even when the TV is disconnected from the internet and appears to be off in standby mode.

To unearth these surreptitious practices, Gamers Nexus partnered up with independent security researchers and Level1Techs. Their resulting two-hour video report has since been picked up by other trusted cybersecurity voices like Malwarebytes.

By digging into the firmware and intercepting some of the data the TVs were sending, the team found that the TVs were extensively scanning local Wi-Fi networks to log what devices were on it, including phones, computers, and other smart-home devices like thermostats. It even collected the names of nearby Wi-Fi networks, creating an alarmingly detailed picture of all the devices in a user’s household.

Why might that information be relevant to LG? The TVs also use a controversial technology called automated content recognition (ACR) that routinely scans and determines what you’re watching so it can sell that data to advertisers. 

Combined together, they build an advanced and disturbingly comprehensive profile of what you watch and the devices you use, Gamers Nexus warn. All this data is sent back to LG Ad Solutions, its lucrative advertising business.

LG TVs, on top of it all, can also listen to you. Tests showed that their built-in microphones could capture clean audio of nearby conversations and generate transcripts of them, even when the TVs were in standby mode, which most TVs default to when you think you’ve turned them off, with the display powering down. The recording feature continued even when the TVs were unplugged from the internet, storing the audio files locally and uploading them the moment the internet connection was restored.

The researchers also found a vulnerability that allegedly allow a hacker to remotely execute code, though they’re keeping the details on this light so they can responsibly disclose their findings.

Many LG owners are furious about the news.

“LG hardware is just spyware,” fumed a post on the r/LGOLED subreddit. “You[r] TV is wiretapping your whole house.”

Smart TVs collecting data on you isn’t new — ACR in particular is well-documented — but the reported findings here illustrate a degree of invasiveness the public could only speculate about previously.

It’s far from the first time LG has caused a stir over purported privacy violations, either. Another Gamers Nexus investigation last month found that LG monitors were sneakily installing pop-up ads onto customers’ computers. The ensuing controversy caught Microsoft’s attention, with the company demanding LG remove the ads.

More on surveillance: The Real Victims of the AI Surveillance Panopticon? Crime Fiction Writers

The post LG TVs Caught Secretly Recording Users and Scanning Their Homes For Other Devices, Even When Disconnected From the Internet appeared first on Futurism.

People Are Telling Their Darkest Thoughts to AI Without Realizing They Can Easily Become Public

5 September 2026 at 14:01

Talking to an AI chatbot can feel like confiding in a mirror, a private exchange equivalent to brainstorming in a Word document. Yet when it comes to the most popular AI chatbots, that mirror is really one-way glass — and you might be shocked to learn how many different people can watch from the other side.

Since the rise of easily accessible AI chatbots, untold millions of people have happily fed AI models their deepest, darkest secrets. According to a recent survey conducted by browser company DuckDuckGo and flagged by CNET, a full third of all AI users admit to having told their chatbots a secret they wouldn’t tell the “trusted people” in their lives.

There’s a grim irony there, because by telling an AI chatbot those closely guarded secrets, you may inadvertently be sharing intimate details with tech companies, police departments, lawyers, and even your boss. That’s according to new reporting by the Washington Post, which notes that there have been a dozen court cases where chatbot transcripts were cited in the public record over the last two years.

Even if your transcripts don’t end up in the hands of Johnny Law, they can easily be obtained by your boss, assuming you’re using a company-provided AI service. And of course, there’s no telling how long AI companies like OpenAI and Anthropic might hold onto details of your conversations, as WaPo notes numerous scenarios in which they may be required to hold onto your chatlogs by law.

There’s also the grim possibility of leaks from the AI companies themselves. In July, it was revealed that a whole trove of chats with Anthropic’s chatbot Claude had been exposed to the open web — and not for the first time.

“Unless you are having a chat with a service that has a temporary chat or, basically, an incognito version… [and] you’re also having it within a browser that’s not tracking you, the answer is no,” Jen King, a privacy researcher at the Stanford Institute for Human-Centered Artificial Intelligence told WaPo. “You can’t be sure that it’ll be totally private.”

And though users are remarkably comfortable divulging those details to their favorite bot, fewer are aware of those myriad ways their chat logs might live on in perpetuity. According to the DuckDuckGo poll, 53 percent of regular users said they didn’t know that AI chatbots are training on data obtained through their conversation, while 75 percent didn’t realize that conversations with large language models (LLMs) can easily be subpoenaed by police.

So when in doubt about whether to tell ChatGPT about your intimate relationship troubles, keep in mind that the internet is forever; and that goes double for AI chatbots.

More on AI chatbots: New AI Chatbot Turns Out to Be One Overworked Guy Answering All the Messages by Hand

The post People Are Telling Their Darkest Thoughts to AI Without Realizing They Can Easily Become Public appeared first on Futurism.

Bidding war for defunct Spirit Airlines’ employee data will not die

4 September 2026 at 14:32

The destiny of Spirit Airline’s data is still undecided, months after the company sought bankruptcy protection.

AI data company Micro1 has now offered $12.5 million to acquire a trove of the company’s emails, Teams chats, operations and employee productivity data, according to a report by aviation website Simply Flying,

It said the data includes about 600 million email and chat records generated by 17,000 employees, as well as 17 million OneDrive files, 20.5 million SharePoint items, and more than 30 million recorded customer service calls. Such a large repository of information is a gold mine to any company looking to train AI models more effectively. The report says that this data includes sensitive, decades-old employee and workplace records.

But Micro1’s offer comes weeks after Google acquired the data at auction, with its $10 million bid beating the $7.5 million offered by another AI training company, Mercor.

The airline’s former employees objected to the sale, and last week their unions took legal action to block the it.

Nelson, international president of the Association of Flight Attendants-CWA, which continues to represent more than 5,500 of Spirit’s flight attendants, told Forbes that former flight attendants were unhappy about Spirit attempting to cash in on sensitive data when they still have not been paid their accrued vacation time, sick leave, and outstanding compensation.

However, this type of personal data is extremely valuable to the likes of Google. It means that AI models can be trained in more realistic scenarios. One option that is being explored is whether the data can be anonymized, which may offer a way forward to keep both sides happy.

This article first appeared on CSO.

Wispr moves beyond AI dictation with note-taking assistant

7 August 2026 at 14:44

Wispr, the startup behind dictation tool Wispr Flow, has created an AI note-taking assistant that records meetings and generates conversation summaries for users.

The Wispr Flow Notetaker tool “captures your meetings so you can stop splitting your attention between listening and writing things down,” said Sahaj Garja, Wispr CTO and co-founder.

Notetaker starts recording with one click, and doesn’t require a bot to attend a video or voice call. It can also be used to capture in-person conversations.

The software has three key functions. Before a call, Notetaker displays a meeting brief with information such as meeting purpose and background of participants.

Once the meeting starts, a live transcript displays the dialogue text and labels speakers. A “what did I miss?” button provides a summary of talking points from the previous few minutes.

Finally, post-meeting, Notetaker generates a more detailed summary organized by topic that includes information such as key dates, decisions, and next steps. Users can search across notes from previous meetings in the Notetaker app. “Over time your meeting history stops being a folder of documents you have to go find and becomes something you can ask questions of,” said Garja.

Notetaker integrates with AI assistants such as Anthropic’s Claude and OpenAI’s ChatGPT via model context protocol. This allows users to connect outputs such as transcripts and summaries “into how you already work, instead of sitting in a separate app,” said Garja.

With Notetaker, Wispr competes in an increasingly busy market for AI note-taking apps that includes Fireflies, Granola and Otter.

Wispr claims Notetaker can produce more accurate transcripts than existing tools, partly because of the additional context it uses during transcription. It uses the same personal dictionary from Wispr Flow that includes acronyms, products, and preferred spellings, and can also draw on other sources such as calendar information to understand the purpose of a meeting and help ensure speakers are labelled correctly.

Before generating the final summary, Notetaker also re-reads the live meeting transcript and combines it with additional context to create a more accurate final output, Garja said.

Notetaker is the first new product launched by Wispr, which was founded in 2021 and has since raised $81 million in funding.

“We didn’t set out to build a dictation app,” said Garja. “The mission has always been to reshape how people interact with their devices, and dictation was the fastest way in.”

“Notetaker is the second product on that path. Dictation took the keyboard out of writing. Notetaker takes it out of meetings, so nobody has to spend the call typing up what everyone just said.”

User consent when recording calls

As AI note-taking tools have become more prevalent in the workplace, privacy concerns have arisen, including the need for all-party consent when recording a call in some jurisdictions, and whether meeting audio is used to train AI models. Two software vendors, Otter and Granola, currently face separate lawsuits in California that allege privacy law violations related to their products.

Wispr Flow Notetaker captures audio locally on a user’s device rather than joining the call as a visible bot. That means there’s no notification to signal that a conversation is being transcribed, which places responsibility on users to disclose the recording to others on the call in accordance with local laws, said Garja.

“Users should always let the other person know before you start recording or transcribing a conversation, whether it’s a video call, an in-person meeting, or a phone call,” he said, adding that Wispr intends to build additional features for automated consent messaging “in the coming weeks.”

Wispr doesn’t train its AI models on customer data without consent, though free and standard tier customers must choose to opt-out, according to Wispr’s privacy terms. Nor does it create “voiceprints or biometric profiles” of users or anyone else on a call using audio recording data, the company says.

When Notetaker is active, conversation audio is captured on a user’s device and processed on cloud servers to enable transcription. The recorded audio file is encrypted and stored temporarily on the user’s device or cloud storage, Wispr said. After a limited period, the audio is automatically deleted.

Notetaker is available with the Wispr Flow macOS app to free and paid subscribers, with support for Windows “coming soon.”

Granola lawsuit raises concerns over AI note-taking app privacy

6 August 2026 at 16:21

AI note-taking app maker Granola is accused of violating privacy laws by developing software that can record conversations without all participants’ consent, according to a lawsuit filed July 30 in a California federal court.

It follows a similar ongoing case in the same district, filed last year, that involves another note-taking and transcription software vendor, Otter.ai.

AI note-taking apps have proliferated in recent years, with dedicated tools emerging from vendors including Fellow, Fireflies, Otter, and others, some of which claim to have tens of millions of users. These AI assistants record and transcribe meeting conversations, generating automated summaries and follow-up items. Similar note-taking functionality is also built into virtual meeting platforms such as Google Meet, Microsoft Teams, and Zoom.

However, the use of these AI note-taking tools has raised privacy concerns over the ability of some to record and transcribe conversations without the consent of all participants.

The proposed class action complaint against Granola, filed by Florida resident Tarra Chamberlain in the US District Court for the Northern District of California, alleges the company “purposefully” designed its app to record calls without requiring disclosure to all participants.  

While some note-taking tools require a bot to join a video or voice call, Granola captures audio directly from the user’s computer, allowing it to transcribe meetings without appearing as a meeting participant.

The complaint argues that this violates individual privacy rights as well as the California Invasion of Privacy Act (CIPA) that requires “all-party” consent when recording calls.

The complaint also alleges that Granola then by default uses transcription data for commercial purposes, including its use in training its AI models, and “actively advertises the hidden nature of its technology as one of its primary advantages.”

Granola did not respond to a request for comment.

According to the company’s website, Granola offers two optional “transparency features” that can be enabled by app users and admins: an automated chat message that alerts participants when transcription begins, and a watermark added to the user’s video feed. The company also promises that data used to train its AI models is anonymized and “never sent to third parties.”

The Granola case bears similarities to a separate lawsuit involving Otter.ai. The class action filed last year alleges that Otter.ai records all users without their consent and uses their voices to train its speech recognition AI tools.

Reporting on the latest developments in the Otter.ai suit, MLex wrote this week that, during a court hearing Monday, the judge overseeing the case expressed skepticism about the company’s argument to dismiss the case. US District Judge Eumi K. Lee did not issue a ruling from the bench, saying a written judgement would follow.

The two cases highlight some of the concerns businesses face when deploying AI note-taking tools.

AI notetaking is “more dangerous than any other type of traditional recording apps and tools,” said Enza Iannopollo, Forrester VP and principal analyst, as it raises additional questions about the use of employees’ conversation data.

“Specifically, is the recorded data used for training models? Is the voice used for training other AI? How do I get ‘forgotten’ after my data and biometrics have been recorded? These concerns apply to AI specifically and must be added to the traditional privacy and confidentiality concerns organizations have for other type of recording apps and tools,” she said.

Before deploying AI note-taking apps, Iannopollo recommends that businesses take appropriate steps to vet the tools and “ensure that all contractual clauses are aligned to the business AI risk appetite and risk management best practices.”

“As these tools record, process, store, and share biometric data, organizations must ensure that they comply with all the relevant requirements,” Iannopollo said, adding that transparency and consent notices should be provided to all parties involved in the use of AI note-taking apps.

DefCon security conference bans smart glasses with recording capabilities

31 July 2026 at 16:57

It’s a sign of the times: Security conference DefCon has added smart glasses to its list of banned audio- or video-recording devices.

The organizers have said that, with no consistent way to understand whether smart glasses are recording or not, they have taken the step to ban them in their entirety on the grounds that they erode trust and invade people’s privacy.

Putting corrective lenses in the smart glasses will be no excuse: DefCon insists that visitors bring a pair of glasses without the smarts instead.

The smart glasses ban has been added to DefCon’s already strict rules on photography, which among other things ask visitors not to take group shots and to use “portrait” mode (or a low F-stop for those with old-fashioned cameras) to focus on the foreground, so that people in the background appear blurred.

The smart glasses market has gone up a notch lately. Google and Samsung have both announced Gemini powered eyewear running on Android. Apple is looking to launch its new generation of smart glasses next June, citing privacy concerns as the reason for the delay.

It is not only tech conferences that are getting jumpy about smart glasses. CISOs are beginning to get wary about their impact on organizations and whether their data is secure.

This article first appeared on CSO.

This New Meta “Advertisement” Is Absolutely Brutal

28 July 2026 at 19:24

Last week, we came across a cleverly subversive advertisement for Meta’s controversial smart glasses, which overlaid socialite Kylie Jenner’s face with one of the terrifying bug-eyed monsters from John Carpenter’s “They Live” and a bold type caption that reads “We’re always watching” when viewed from a specific angle.

The billboard, created by activist group Everyone Hates Elon, called attention to how Meta’s camera-adorned and AI-enabled spectacles have quickly turned into a privacy-invading nightmare. The optics of the problem is so bad that Meta is now trying to ban “manfluencers” and juvenile pranksters who use the glasses to record members of the public without their consent.

The public backlash has become so strong, even those who bought a pair of the “pervert glasses” are choosing to leave them at home.

Now, the activist group has come up with its next — and even more brutal — stunt. A new “advertisement” adorning a bus station in London, not far from Meta’s King’s Cross office, shows late sex criminal Jeffrey Epstein wearing a pair of the specs while getting his picture taken for the New York sex offender registry.

“Glasses for people who don’t do consent,” the caption reads.

It’s a clear reference to the late criminal’s sex trafficking operation, which recruited dozens of girls, many underage. Grisly documents details how his victims were convinced to go to his beachfront mansion and even bring friends. According to some of their depositions, they were coerced into taking off their clothes without their consent.

Epstein has also been accused of secretly filming one of his victims. Witnesses also claim he kept “sex tapes” involving prominent people.

Email correspondences from 2014 also detail how the sex criminal directed his aide to install hidden video cameras across his home in Palm Beach, Florida, including one installed inside a Kleenex box.

While Epstein died in 2019, years before roughly two years before Meta launched the first generation of its smart glasses, the billboard sends a grim message.

Critics argue that glasses that can be used to film strangers without their consent shouldn’t be legal.

“If regulators actually did their damn jobs for once, glasses such as these would be illegal,” one Reddit user argued.

“Pervert glasses have no place in our society,” another wrote.

More on Meta’s glasses: Meta Desperately Trying to Ban Creeps Misusing Its AI “Pervert Glasses”

The post This New Meta “Advertisement” Is Absolutely Brutal appeared first on Futurism.

Samsung’s AI-powered glasses could be looking at your data

28 July 2026 at 02:47

Now that Samsung has jumped into the crowded AI-powered glasses arena alongside Apple, Google, Meta, and others, CISOs and IT leaders are again having to think through whether it makes sense to establish enterprise restrictions on such devices, given the likely data leakage and privacy and compliance issues.

And even if those tech leaders decide that such policies might make sense, the logistical hurdles to universally enforcing them outside the office are all but insurmountable.

For example, it is up to individual wearers to choose their device’s settings, making it difficult for IT policies around data acquisition and usage to be enforced. Worse, AI devices have a history of ignoring guardrails. That means that a setting that limits how data is used may not necessarily be obeyed. 

One possible mitigating factor is that smart glasses typically have a light on the frame that activates when the device is recording, but there are also many easy ways for workers to defeat or cover up those lights to conceal their activities. 

Enforcement is virtually impossible

However, said independent technology analyst Carmi Levy, “although some organizations have tried to physically ban smart glasses from their in-person and virtual workplaces, the sad reality for corporate technological gatekeepers is there is no way to completely keep any device out of the workplace.”

There is nothing stopping employees from wearing eyewear of any type, smart or not, he noted, “and attempting to do so might put employers on the wrong side of a disability lawsuit launched by a worker who needs prescription smart glasses to accommodate vision issues.”

As well, Jitesh Ubrani, an IDC director focusing on worldwide device trackers, pointed out that the biggest challenge in creating rules around usage of smart glasses is that the data leakage problem with devices is both not new and certainly not limited to glasses. 

“The instinct to ban AI smart glasses outright is understandable, but it misses that the underlying risk isn’t new. A smartphone has been able to record a whiteboard, a screen, or a conversation for close to two decades,” he said. “What’s changed is the friction. Glasses make covert capture nearly effortless and far harder to notice because there’s no phone being visibly raised or pointed. That’s a real escalation in ease of misuse, but it’s a difference of degree rather than a fundamentally new capability.”

In fact, Ubrani argued, “where this gets hard for CISOs is enforcement. A ban on paper is easy to write. Enforcing it inside a corporate office is already difficult, since most current-generation devices, including Meta’s Ray-Bans, are visually indistinguishable from ordinary eyewear.”

And, he added, “enforcing it in a hybrid or work-from-home setting is close to impossible. IT has no practical way to confirm what someone is wearing on a home Zoom call, and even in-office detection options, like scanning for Bluetooth or BLE advertising signals tied to known manufacturer IDs, only catch devices that haven’t been reconfigured or that happen to be broadcasting at the time.”

Additional risk

Connected glasses have a history going back decades, but enterprises didn’t take them seriously until this year.

But Anshel Sag, principal analyst at Moor Insights & Strategy, characterized the problem as more psychological than technological. 

“People want to ban it because they don’t know how to handle it. But that just creates more problems than it solves. It’s a very kneejerk fear reaction,” Sag said. “We live in an era where cameras are everywhere.”

Meghan Hollis, a senior principal analyst for Gartner, agreed that the focus on smart glasses is misplaced, given that even headphones can today capture audio for translation and transcription. The change is not in the data capture, Hollis said, but the fact that it is adding video.

This creates additional risk, with the new capability brought into the corporate environment causing “a potential exposure for corporate intellectual property,” Hollis said.

One other often-overlooked issue is data sovereignty. Even if the glasses manufacturer agrees to store data only in specific countries, it could easily change that policy or simply switch third-party vendors. 

“There could be export control issues, possibly violating regulatory controls in transmitting information,” Hollis noted. 

However, Hollis said, threatening to punish workers if they are caught using unauthorized devices “is your last line of defense,” and that the best initial approach should not be enforcement, but education.

“You need to be educating your end-users, with constant reinforcement, telling them, ‘If you do this, here’s how you can harm the company and our clients/customers.’ Combine that with, ‘And if you do this, we will take action against you.’”

Tiered policies required

Hollis noted that the risk goes beyond an employee initially recording something they shouldn’t. Consider, for example, a technical meeting where an employee asks the rest of the attendees for permission to record the discussion. They agree and he starts to record. 

At the end of the meeting, he leaves to return to his office, fully intending to turn off the recording function when he gets there. But on the way, he has a brief hallway meeting with an SVP who tells him, without warning, “FYI, but the board just decided to greenlight our hostile takeover of Smith Corp. We’ll explore the specifics at a 10 a.m. tomorrow. Have your team there.” The executive then walks off.

With the recording still running, that ultra-sensitive data has just been transmitted to the cloud. 

IDC’s Ubrani pointed out that situations like this make smart glasses governance more challenging. “Enterprise IT and security leaders need to stop framing this as ‘ban versus allow,’ and instead build a tiered policy based on where the actual risk sits,” he said. “Boardrooms, R&D labs, and any space where trade secrets or regulated data are visible or discussed out loud deserve strict no-wearables rules, enforced the same way phone bans already are in those rooms.”

Open floor plans and general office space probably don’t need that level of restriction, he said, but meeting policies should require disclosure when a device capable of recording is present, similar to the way in which some companies already handle personal recording devices in sensitive briefings.

“Companies that try to write one blanket rule for every environment are going to find it’s either unenforceable or so restrictive it interferes with accessibility, since some employees rely on these devices as assistive technology,” he said.

However, Brian Jackson, a principal research director at Info-Tech Research Group, argued that enterprise CISOs and IT Directors need to take a far more strict position.

“Organizations should update their acceptable use policies for personal technology ASAP,” he said. “Look back about 15 years ago at how smartphones moved from consumer life into the workplace, and we may be at the beginning of a redefinition of BYOD here. But it needs to start with an extremely restrictive policy against the use of AI wearables and similar devices.”

He added, “organizations need to hold the line against making personal recordings in the workplace and maintain not only their compliance standards, but their workplace culture. This restriction cannot go as far as an outright ban; look at how Walt Disney World got caught up in a lawsuit after telling an employee she could not use Meta glasses. Still, this exception can be made narrow, and it should be made clear that other employees must be alerted when they are being recorded.”

This article originally appeared on CSOonline.

Scientists Develop New Technique to Protect Privacy of Electrocardiogram Data

16 June 2026 at 21:27

In a groundbreaking development addressing the burgeoning concern of privacy in modern medical technology, researchers at the University of Kansas have unveiled a transformative artificial intelligence (AI) model designed specifically to safeguard sensitive biometric data embedded within electrocardiograms (ECGs). This innovation is poised to reshape how medical institutions share and analyze vital cardiovascular data without compromising patient confidentiality. Electrocardiograms have long been renowned for their role in capturing the heart’s electrical activity to diagnose and monitor cardiac health; however, as AI integration deepens, these signals inadvertently reveal more than just clinical information — exposing personal attributes such as sex, age, race, and even uniquely identifiable biometric markers.

The research team at Kansas, led by doctoral candidate Fairuz Shadmani Shishir in collaboration with the KU Medical Center, has pioneered the privacy-preserving variational autoencoder (PP-VAE). This novel AI architecture is specially engineered to retain the clinical utility of ECG data while systematically obfuscating sensitive biometric features that might otherwise be inferred through advanced AI analysis. The dual objective of PP-VAE is both technically sophisticated and ethically imperative, ensuring that predictive diagnostic accuracy remains uncompromised while minimizing the risk of privacy breaches inherent in sharing raw biomedical signals.

Electrocardiograms, traditionally viewed as a straightforward diagnostic tool, have grown in complexity with modern AI techniques that can extrapolate a multiplicity of patient traits beyond the cardiovascular parameters they were designed to measure. Shishir notes that these advanced systems can uncover “soft biometrics” such as demographic information, which raises pressing data governance and patient privacy challenges. By developing PP-VAE, the researchers aim to reimagine ECG data processing whereby sensitive attributes are masked without degrading the signal quality necessary for important medical prognoses, such as identifying patients at risk of left ventricular ejection fraction (LVEF) abnormalities, a critical indicator linked to heart failure and mortality risk.

The technical underpinning of PP-VAE involves training independent convolutional neural networks to disentangle and suppress identifiable biometric markers while preserving clinically relevant features within the ECG signal. This balancing act required careful engineering to ensure that the encoded ECG data remained diagnostically rich, capable of supporting predictions related to conditions such as left ventricular hypertrophy and forecasting five-year mortality risk. The research showcased that their method consistently outperformed or competed with other state-of-the-art AI models, marking a significant stride in machine learning’s ability to harmonize privacy with clinical efficacy.

Importance of such privacy-preserving strategies becomes particularly clear against the backdrop of the healthcare industry’s increasing reliance on data sharing for collaborative research, AI model development, and multi-institutional patient care coordination. The KU team articulates that unrestricted data sharing without privacy controls introduces tangible risk vectors for patient re-identification and misuse. PP-VAE proposes a scalable approach toward enabling secure exchange of ECG data, thus fostering innovation and improving medical outcomes while staunchly protecting individual privacy rights.

This research also touches on the profound issue of bias within AI-driven medical diagnostics, which has historically contributed to disparities in healthcare delivery among marginalized populations. The team consciously incorporated balanced datasets reflective of gender and racial diversity in their model training to mitigate bias and improve generalized performance across varied demographic groups. While initial validations were primarily conducted using data from KU Medical Center and publicly available datasets, future work is projected to expand this cross-regional training, enhancing the robustness and impartiality of the model when applied globally.

Another compelling facet of this breakthrough is the planned public release of the PP-VAE model, reflecting the researchers’ commitment to transparency, collaboration, and democratization of AI tools in medicine. By allowing institutions worldwide to access and further refine the model with local datasets, the innovation promises to catalyze a new era of secure, privacy-conscious healthcare analytics. Adoption of PP-VAE could alleviate prevalent trust issues among patients concerned about the confidentiality of their biometric health information—a critical barrier to broader acceptance of AI-driven healthcare technologies.

Furthermore, the researchers discuss the broader implications for data-driven diagnosis, illustrating how balancing the protection of sensitive attributes with clinical utility could become a standard principle in biomedical AI applications beyond cardiology. This approach offers a blueprint for addressing ethical and privacy challenges that increasingly pervade the intersection of health data science and artificial intelligence.

The University of Kansas team’s work is also distinguished by its multidisciplinary nature, featuring collaboration between electrical engineering, computer science, and cardiovascular medicine experts. Such an integrated approach enabled the synthesis of advanced machine learning expertise with intimate clinical insight, culminating in a pragmatic solution tailored precisely to real-world healthcare needs.

This pioneering study was recently published in Scientific Reports, showcasing detailed methodology, experimental evaluations, and comparative performance analyses that underscore the efficacy and potential transformative impact of PP-VAE. Supported by the American Heart Association, this research is an exemplar of innovative technological stewardship addressing one of the most pressing challenges in digital health.

As AI continues to proliferate across medical diagnostics, models like PP-VAE will undeniably play a critical role in shaping ethical frameworks and technological architectures for future patient data management. By protecting sensitive biometric identifiers embedded in ECG data, the model not only preserves patient autonomy but also enhances the potential for AI-driven insights to be safely harnessed for better clinical outcomes worldwide.

The journey ahead involves validating and deploying this technology in diverse healthcare environments globally to ensure scalability, efficacy, and fairness remain intact as data heterogeneity increases. Yet, with the foundational work from the University of Kansas, a robust and privacy-conscious approach to ECG analysis and beyond appears well within reach, heralding a new era of secure AI-driven cardiovascular care.


Subject of Research: Privacy-preserving AI models for electrocardiogram data analysis
Article Title: Safeguarding Patient Privacy in Electrocardiogram Analysis with AI-driven Models
Web References: Scientific Reports Article
Image Credits: Fairuz Shadmani Shishir / University of Kansas

Keywords

Privacy-preserving AI, Electrocardiogram (ECG), Variational Autoencoder, Convolutional Neural Networks, Biomedical Data Security, Cardiovascular Diagnostics, Left Ventricular Ejection Fraction, Patient Privacy, Machine Learning Bias, Medical Data Sharing, Artificial Intelligence in Healthcare, Clinical Decision Support

How to opt out of Google’s new AI training default

11 June 2026 at 10:45

Heads-up, my fellow Android-appreciating animals: Google’s in the midst of rolling out a subtle change to its privacy settings that’s well worth your while to notice.

The change includes a new clause that says the company can use images, files, video, and audio from your interactions with Google Lens, Search, and Gemini Live to train and improve its AI models.

By default, that switch will soon be on and active for your account.

But with about 20 seconds of one-time effort, you can opt out and flip it off (both literally and metaphorically, if you’re so inclined) once and for all.

Lemme show ya how.

[Get level-headed knowledge in your inbox with my free Android Intelligence newsletter. Something new and useful every Friday — from my keyboard to your email.] 

Google’s new AI training privacy default

First things first — the nature of the change: According to Google, starting in the next few days, a new “Search Services History” section within the general Google account settings will lead to a significant-seeming policy shift. As per an email the company sent out to users this week:

Your media [will now be] saved when Search Services History is on. Saved media includes your images, files, audio, and video from your interactions with Search services to help improve your experience. … Your saved media is also used to develop and improve Google services and technologies, including AI models and safety measures.

Riiiiiiiiiiight.

Now, to its credit, Google does say the data will never be associated with your account or identity once it’s used for these purposes, and it’ll rely on “filters” to “automatically remove a broad range of identifying info or sensitive personal information.” But still, whether you’re working with important corporate info or simply put off by the idea of your personal media being fed into the AI training machine, this may be news you aren’t exactly thrilled to hear.

If you’re finding AI increasingly creepy or you’re just not so keen on knowing whatever media you submit to search-related services will be used to train and develop AI for the future, now’s the time to proactively speak up and change your Google account settings to shut down this setup before it begins.

That, unfortunately, is where things get slightly complicated — ’cause for most of us, this new Search Services History section doesn’t seem to be present and available just yet.

But that doesn’t mean you’re plum out of luck.

Your 20-second opt-out roadmap

To start on your AI training opt-out adventure, make sure you’re signed into whatever Google account you rely on for work and/or personal purposes, then head to the Google Activity Controls page and see if you see a section there called “Search Services History.”

If you do, this is especially easy for you: Just use the option right then and there to disable the “Save Media” setting within that section, which will stop any media files from being saved and used without eliminating the entire history of things you’ve searched. (If you’d rather eliminate all of your Google Search history from being saved and used even for your own future discovery and recommendations, you can also opt to turn that entire section off. Just be aware that it may have some wide-reaching effects on the personalization you see across a lot of Google services.)

If you don’t see that section — and, again, that appears to be the case for most of us at this point — you’ve got two options for the moment:

  1. You can completely disable all of “Web & App Activity.” Google says if you do this, once your account transitions over to the new approach, all of those “Search Services History” settings will stay off as well. Just be aware that doing so will prevent any and all search history from being saved for you from here on out — which, again, means you won’t be able to revisit your search history yourself and won’t see suggestions and personalization based on past searches throughout Google apps in the future.
  2. If you want to avoid entirely eliminating all of your search history, you can for now uncheck the boxes only for “Include voice and audio activity” and “Include Visual Search History.” That’ll stop search-related media from being saved to your Google account for the time being — though I’d also suggest setting yourself a reminder to look back at that same page once a week or so until you see “Search Services History” appear and can confirm that “Save Media” is unchecked as a result of that previous preference. Right now, Google isn’t explicitly saying that such a preference will carry over, so I’d put it on yourself to double-check and make sure (and then make the needed adjustment in the new interface, if not).

The choice is ultimately 100% yours — but in this case, it’s up to you to take action and opt yourself out if you aren’t comfortable with the default. It’s an unfortunate position to be put in, but now you at least know what’s happening and how you can make your own decision to take back control.

Find the tips and tools that’ll *actually* help you with my free Android Intelligence newsletter. No hype, no nonsense — just useful new stuff in your inbox every Friday, from one (alleged) human to another. 

❌