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Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practices

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Scholarly work which aims to describe potential societal impacts (e.g., risks) of proliferating technology (especially related to artificial intelligence or other algorithmic systems) is likely to have an impact beyond the scientific communities it was written for, given that general society itself is a primary object of study. However, it is an open question whether the current practices of AI evaluation scholarship follow the principles and best practices established by risk science, which aims to systematically generate knowledge related to understanding, assessing, communicating, managing,

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