Question Bank for Safe and Responsible AI Risk Assessment

The AI Risk Assessment Question Bank is a comprehensive resource for evaluating risks associated with AI systems. It serves as a vital tool for AI practitioners, researchers, and policymakers to assess AI systems across their lifecycle. Organized across all phases—from planning and design to deployment and monitoring—it ensures that no aspect of risk management is overlooked.

Developed through collaborative efforts, the question bank compiles, organizes, and refines key considerations for AI system evaluation. It addresses critical risks and challenges, supporting responsible AI practices by enabling stakeholders to identify, analyze, and mitigate risks effectively.

Access the full collection of question bank papers below or explore an interactive version to filter questions by lifecycle phase, risk category, or evaluation method.

• Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, and Jon Whittle. “QB4AIRA: A Question Bank for Responsible AI Risk Assessment.” IEEE Software (2024).
• Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Olivier Salvado, and Jon Whittle. “Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment.” arXiv preprint arXiv:2408.11820 (2024).