person

Alexandra Chouldechova

Research on prediction metrics offers an entry into fairness tradeoffs and institutional use.

Alexandra Chouldechova authored Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.[1]

Start with the metric definitions and worked example, then compare the paper’s formal relationship with its hypothetical use cases. Follow the investigation entry and the separate score-level theorem. The route asks what can be established mathematically and what needs evidence about an institution’s decisions.

This entry follows the reviewed contribution. Original interviews and additional research can extend the reading route without inferring current roles or all of the author’s views from one paper.

Sources

  1. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments · Source record ref-chouldechova-fair-prediction · Back to claim ↑1

Last updated 2026-10-12