Commentary expands on AI and psychometric fairness research

This commentary discusses fairness research in both psychometrics and AI/ML, building on Ying Cheng's focus article. It highlights Cheng's contribution in mapping the entire testing workflow to the AI/ML fairness paradigm, not just the final selection stage. The commentary further explores the conceptual distinctions between equality and equity, and the significance of causality in fairness research, suggesting future interdisciplinary directions for both communities. AI

IMPACT Expands conceptual understanding of fairness in AI/ML, potentially influencing future research methodologies.

RANK_REASON This is a commentary on an academic paper discussing research concepts in AI/ML fairness. [lever_c_demoted from research: ic=1 ai=1.0]

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• Psychometrika
• Ying Cheng

• paper
• other

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