Red-Teaming in the Public Interest
This report explores how red-teaming practices can be adapted for generative AI in ways that serve the public interest.
This report examines the history, methods, and social dynamics of red-teaming generative AI (genAI) systems.
It highlights how traditional security-focused red-teaming is evolving into public, participatory efforts to assess AI harms and ensure accountability. The report argues for a broader, sociotechnical approach that centers public involvement, addresses power asymmetries, and emphasizes critical thinking beyond technical stress-testing.
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