HighlightsPrivacy espresso seriesResourcesJuly 25, 2024Meta’s AI Data Dilemma: Privacy concerns and regulatory challenges

WhatsApp Image 2024-07-25 at 09.24.46

In the latest episode of the PrivacyRules Privacyespresso series, we delve into a recent and pressing topic: the complaint raised by the Open Rights Group against Meta. Joined by Trevor Fenton, partner at Shakespeare Martineau, the exclusive UK member firm of the PrivacyRules Alliance. Trevor, expert in privacy and data protection, provides insights into this case, which mirrors actions in the EU by NOYB against Meta.

Key highlights:

Meta’s data use for AI training: Meta’s plan to use personal data to train AI models has raised significant privacy concerns. This issue highlights the complexities of using vast amounts of personal data collected over nearly two decades.

Transparency and privacy notices: The challenge of explaining complex data uses in privacy notices is discussed, especially when notices are excessively long and difficult to understand.

Regulatory responses: Authorities, such as the ICO in the UK, may proactively prohibit certain types of data processing if they do not pass data protection impact assessments (DPIAs).

Legal basis for data processing: The debate over using legitimate interests versus consent as the legal basis for processing personal data for AI training is explored, with authorities pushing for more stringent requirements.

Trevor explains how these issues reflect broader challenges in the data protection landscape, especially with advanced technologies like AI. He emphasizes the need for transparency, informed consent, and the role of regulatory authorities in safeguarding personal data.

Tune in to gain expert insights on this important topic and understand the implications for privacy and data protection: 👉🏻bit.ly/3SmBgTv