Optimal Structuring of AI Red-Teaming Activities

Develop structured procedures for AI red-teaming of generative AI systems that maximize the likelihood of discovering flaws and vulnerabilities.

Background

The authors argue that current descriptions of red-teaming lack specificity on how the activity should be designed and executed to be most effective. This uncertainty hinders consistent practice and meaningful comparison across efforts.

Determining effective structures would inform resource planning, methodology selection, and evaluator guidance for more rigorous and reproducible exercises.