Meta uses your personal data to train AI: how to avoid it

Meta uses users' personal data to train its AI, although thanks to a new form you can reject this use of your data.

El traductor universal de Meta

Months ago, Meta announced LLaMA, its own artificial intelligence. With this big step by Mark Zuckerberg’s company into the world of AI (where it had already entered at the time, albeit with disastrous results), many suspected that Meta would use user data to train its artificial intelligence. And so it was.

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Meta itself confirms this in a blog post, where it explains what kind of data it collects and how it uses it to train its AI. Meta says it collects information that is public on both Facebook and Instagram, as well as licensing data from other vendors.

But fear not, because if you do not want Meta to use your data, you can request it.

This week, the company updated its “Help Desk,” adding a section called “Data Subject Rights in Generative AI,” which gives users the ability to “submit issues regarding how we use their personal information that may be in third-party data used to train generative AI models.”

The new form is very simple and makes it very clear what options users have regarding the data collected by Meta to train generative AI. First, we can “access, download or correct our personal information,” if we want to see what information Meta uses about us.

The second option is to “delete any personal information,” which, as he explains, would delete all the data Meta has collected about us for use in training its AI.

The third is the most drastic, as it allows the user to “object to or restrict the processing of our personal information“, which would prevent Meta from continuing to use your data to develop its artificial intelligences.

Finally, the fourth option allows us to write a message to Meta if “we have a different problem” regarding the processing of personal data to train AI.

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Through this form, Meta would seek to comply with the European Union’s Digital Services Law (DSL), which aims to reduce the dissemination of illegal content and disinformation, as well as to promote advertising transparency.

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Author: Pedro Domínguez

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