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cs.CY2026
Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools
Lin Luo, Satwik Ghanta, Yuri Nakao +2
AI systems are increasingly used in high-stakes domains such as credit rating, where fairness concerns are critical. Existing fairness assessments are typically conducted by AI exp…
cs.CY2025
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching System
Takuya Yokota, Yuri Nakao
While machine learning (ML) technology affects diverse stakeholders, there is no one-size-fits-all metric to evaluate the quality of outputs, including performance and fairness. Us…