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Meta halts plans to train AI on Facebook, Instagram posts in EU

Meta halts plans to train AI on Facebook, Instagram posts in EU

Enlarge (credit: GreyParrot | iStock / Getty Images Plus)

Meta has apparently paused plans to process mounds of user data to bring new AI experiences to Europe.

The decision comes after data regulators rebuffed the tech giant's claims that it had "legitimate interests" in processing European Union- and European Economic Area (EEA)-based Facebook and Instagram users' data—including personal posts and pictures—to train future AI tools.

There's not much information available yet on Meta's decision. But Meta's EU regulator, the Irish Data Protection Commission (DPC), posted a statement confirming that Meta made the move after ongoing discussions with the DPC about compliance with the EU's strict data privacy laws, including the General Data Protection Regulation (GDPR).

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Meta uses “dark patterns” to thwart AI opt-outs in EU, complaint says

Meta uses “dark patterns” to thwart AI opt-outs in EU, complaint says

Enlarge (credit: Boris Zhitkov | Moment)

The European Center for Digital Rights, known as Noyb, has filed complaints in 11 European countries to halt Meta's plan to start training vague new AI technologies on European Union-based Facebook and Instagram users' personal posts and pictures.

Meta's AI training data will also be collected from third parties and from using Meta's generative AI features and interacting with pages, the company has said. Additionally, Meta plans to collect information about people who aren't on Facebook or Instagram but are featured in users' posts or photos. The only exception from AI training is made for private messages sent between "friends and family," which will not be processed, Meta's blog said, but private messages sent to businesses and Meta are fair game. And any data collected for AI training could be shared with third parties.

"Unlike the already problematic situation of companies using certain (public) data to train a specific AI system (e.g. a chatbot), Meta's new privacy policy basically says that the company wants to take all public and non-public user data that it has collected since 2007 and use it for any undefined type of current and future 'artificial intelligence technology,'" Noyb alleged in a press release.

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Dan Solove on Privacy Regulation

Law professor Dan Solove has a new article on privacy regulation. In his email to me, he writes: “I’ve been pondering privacy consent for more than a decade, and I think I finally made a breakthrough with this article.” His mini-abstract:

In this Article I argue that most of the time, privacy consent is fictitious. Instead of futile efforts to try to turn privacy consent from fiction to fact, the better approach is to lean into the fictions. The law can’t stop privacy consent from being a fairy tale, but the law can ensure that the story ends well. I argue that privacy consent should confer less legitimacy and power and that it be backstopped by a set of duties on organizations that process personal data based on consent.

Full abstract:

Consent plays a profound role in nearly all privacy laws. As Professor Heidi Hurd aptly said, consent works “moral magic”—it transforms things that would be illegal and immoral into lawful and legitimate activities. As to privacy, consent authorizes and legitimizes a wide range of data collection and processing.

There are generally two approaches to consent in privacy law. In the United States, the notice-and-choice approach predominates; organizations post a notice of their privacy practices and people are deemed to consent if they continue to do business with the organization or fail to opt out. In the European Union, the General Data Protection Regulation (GDPR) uses the express consent approach, where people must voluntarily and affirmatively consent.

Both approaches fail. The evidence of actual consent is non-existent under the notice-and-choice approach. Individuals are often pressured or manipulated, undermining the validity of their consent. The express consent approach also suffers from these problems ­ people are ill-equipped to decide about their privacy, and even experts cannot fully understand what algorithms will do with personal data. Express consent also is highly impractical; it inundates individuals with consent requests from thousands of organizations. Express consent cannot scale.

In this Article, I contend that most of the time, privacy consent is fictitious. Privacy law should take a new approach to consent that I call “murky consent.” Traditionally, consent has been binary—an on/off switch—but murky consent exists in the shadowy middle ground between full consent and no consent. Murky consent embraces the fact that consent in privacy is largely a set of fictions and is at best highly dubious.

Because it conceptualizes consent as mostly fictional, murky consent recognizes its lack of legitimacy. To return to Hurd’s analogy, murky consent is consent without magic. Rather than provide extensive legitimacy and power, murky consent should authorize only a very restricted and weak license to use data. Murky consent should be subject to extensive regulatory oversight with an ever-present risk that it could be deemed invalid. Murky consent should rest on shaky ground. Because the law pretends people are consenting, the law’s goal should be to ensure that what people are consenting to is good. Doing so promotes the integrity of the fictions of consent. I propose four duties to achieve this end: (1) duty to obtain consent appropriately; (2) duty to avoid thwarting reasonable expectations; (3) duty of loyalty; and (4) duty to avoid unreasonable risk. The law can’t make the tale of privacy consent less fictional, but with these duties, the law can ensure the story ends well.

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