Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
Nguyen, Tin Trung, Xu, Jiannan, Nguyen-Le, Phuong-Anh, Lazar, Jonathan, Braman, Donald, Daumé, Hal III, Jelveh, Zubin
–arXiv.org Artificial Intelligence
Despite its constitutional relevance, the technical ``individual fairness'' criterion has not been operationalized in U.S. state or federal statutes/regulations. We conduct a human subjects experiment to address this gap, evaluating which demographic features are relevant for individual fairness evaluation of recidivism risk assessment (RRA) tools. Our analyses conclude that the individual similarity function should consider age and sex, but it should ignore race.
arXiv.org Artificial Intelligence
Oct-30-2025
- Country:
- North America > United States > Maryland > Prince George's County > College Park (0.16)
- Genre:
- Research Report > Experimental Study (0.94)
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- Technology: