Overview

• Joelle Pineau, head of AI research at Meta, advocates for transparency in AI, likening it to ingredient lists on food products.
• Pineau suggests legislation requiring AI developers to document data sources, model capabilities, and risk assessments.
• Research from Stanford University highlights the current lack of transparency, with top AI models scoring poorly on transparency indicators.
• Meta has committed to open-source AI models but faces criticism for not allowing users to opt out of certain AI tools.
• A standardized approach to transparency could build trust and improve the quality and safety of AI technologies.