event · May 23, 2016
ProPublica publishes the COMPAS investigation
An investigation provides a reading entry into disputes about risk scores, error metrics and institutional use.
ProPublica published its COMPAS investigation on May 23, 2016.[1] The chronology dates reporting, rather than a software launch, an individual arrest or a judicial finding.
What exactly is being compared?
Chouldechova’s analysis distinguishes predictive parity from error-rate balance. Its hypothetical penalty model is not a causal audit of court decisions.[2]
Kleinberg and colleagues provide a separate formal framework and identify future arrest as the risk tool’s outcome proxy. That proxy is not a direct measurement of all offending.[3]
These questions make the investigation a useful entry into Fairness Tradeoffs. Ask which population enters each denominator, how the outcome is recorded, what the score means and how it is used. A dispute over a metric and a dispute over a decision’s justification require different evidence.
A reading sequence
Start with the original investigation and a reporter’s published interview excerpts, then compare the two research papers. Alexandra Chouldechova connects the empirical reanalysis with metric definitions. The incidents guide contrasts this investigation with chatbot failures and an identification-led arrest.
Review here establishes publication identity and selected formal/reanalysis arguments. Original vendor responses, underlying criminal records, code and downstream sentencing effects were not independently audited. The entry does not adjudicate every contested allegation.
Sources
- Machine Bias · Source record ref-propublica-machine-bias-2016 · Back to claim ↑1
- Fair prediction with disparate impact: A study of bias in recidivism prediction instruments · Source record ref-chouldechova-fair-prediction · Back to claim ↑1
- Inherent Trade-Offs in the Fair Determination of Risk Scores · Source record ref-risk-score-tradeoffs-2016 · Back to claim ↑1
Pages that link here
Last updated 2026-10-12