How We Analyzed the COMPAS Recidivism Algorithm — ProPublica
Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood of becoming a recidivist – a term used to describe criminals who re-offend. There are dozens of these risk assessment algorithms in use. Many states have built their own assessments, and several academics have written tools. There are also two leading nationwide tools offered by commercial vendors. We set out to assess one of the commercial tools made by Northpointe, Inc. to discover the underlying accuracy of their recidivism algorithm and to test whether the algorithm was biased against certain groups. Our analysis of Northpointe’s tool, called COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions), found that black defendants were far more likely than white defendants to be incorrectly judged to be at a higher risk of recidivism, while white defendants were more likely than black defendants to be incorrectly fl
← Read the story Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood of becoming a recidivist – a term used to describe criminals who re-offend. There are dozens of these risk assessment algorithms in use. Many states have built their own assessments, and several academics have written tools. There are also two leading nationwide tools offered by commercial vendors. We set out to assess one of the commercial tools made by Northpointe, Inc. to discover the underlying accuracy of their recidivism algorithm and to
related reading
- EPIC-16-06-23-WI-FOIA-201600805-COMPASPractionerGuide.pdfarchive.epic.org
- AI and prediction of criminal justice risk: revisiting the COMPAS dataset, experiments, and the problem of algorithmic bias and fairnesslink.springer.com
- Violent Recidivism and Adverse Childhood Experiences in Forensic Psychiatric Patients With Impaired Intellectual Functioningpmc.ncbi.nlm.nih.gov
- Precision and recallen.wikipedia.org
- confessions_paper.pdfcdn.openai.com
- Statistical Fairness - Turing Commonsalan-turing-institute.github.io
- Algorithmic Accountabilitydatasociety.net
- How Flawed Data Aggravates Inequality in Credit | Stanford HAIhai.stanford.edu
- Show Your Work - The Markupthemarkup.org
- The Death of the Legal Subject: How Predictive Algorithms Are (Re)constructing Legal Subjectivityfacctconference.org
- Microsoft Word - 03_Trites Volume 11 issue 2 Final.docxgmj-canadianedition.ca
- Obsession with Regression – Emma Pierson's blogepierson9.github.io