Prevent Meta from Using Your Data for AI Training with This Facebook Setting

In a bid to bolster user data privacy, Meta, the parent company of Facebook, has rolled out significant updates to its Facebook help center. These changes introduce a dedicated form known as “Generative AI Data Subject Rights,” enabling users to have greater control over their personal data that contributes to the training of generative AI models.

Introducing the “Generative AI Data Subject Rights” Form

The latest addition to Meta’s Facebook help center has a dedicated form aimed at enhancing data privacy for users. This form, aptly named “Generative AI Data Subject Rights,” is a noteworthy step forward. It empowers Facebook users to manage the personal information that plays a crucial role in training generative AI models.

Empowering Users with Data Control

This development is a positive initiative by Meta, providing users with options to access, modify, or even delete their personal data. This data, often sourced from various third-party channels, contributes to the extensive language and AI models employed by the company.

Understanding Third-Party Data in AI Training

In the context of this form, Meta defines third-party data as information publicly available on the internet or obtained through licensed sources. Such data plays a pivotal role in training generative AI models, which rely on predictive patterns to generate fresh and relevant content. Notably, Meta has confirmed that the “Llama 2” open-source large language model has not trained using user data.

Managing Your Facebook Data for AI Training

For users concerned about their data’s role in training AI models, Meta has made the process of managing this information more accessible. Here are the essential steps:

1. Visit the “Generative AI Data Subject Rights” Form: Head to this form, which is accessible via Meta’s generative AI privacy policy page.
2. Access Additional Information and Request Submission: Click on the provided link to learn more and submit your data-related requests.
3. User-Friendly Options for Data Control: Users can choose from three available options based on their preferences or concerns.
   • Access: Allows users to view the data that has collected.
   • Correction: Permits users to rectify any inaccuracies in their data.
   • Deletion: Offers the option to delete personal data derived from third-party sources used in AI model training.

Ensuring Data Privacy: Security Checks and Reported Bugs

While these options provide a user-friendly way to manage data, it’s important to note that after selecting an option, users may required to complete a security check. However, some users have reported encountering minor issues while filling out the form, which Meta is likely to address to ensure a smoother user experience.

In conclusion, Meta’s introduction of the “Generative AI Data Subject Rights” form represents a positive step toward enhancing user data privacy. It not only empowers users to have greater control over their data but also underscores Meta’s commitment to transparency in its data usage practices. This development aligns with the growing emphasis on data protection and privacy in the digital age.