How We Analyzed the COMPAS Recidivism Algorithm - ProPublica
2016年5月23日 · The COMPAS system unevenly predicts recidivism between genders. According to Kaplan-Meier estimates, women rated high risk recidivated at a 47.5 percent rate during two years after they were...
Machine Bias - ProPublica
2016年5月23日 · Brennan and Wells named their product the Correctional Offender Management Profiling for Alternative Sanctions, or COMPAS.
COMPAS Recidivism Risk Score Data and Analysis - ProPublica
Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood to re-offend. There are dozens of these risk assessment...
propublica/compas-analysis: Data and analysis for 'Machine Bias' - GitHub
compas.db - a sqlite3 database containing criminal history, jail and prison time, demographics and COMPAS risk scores for defendants from Broward County. Other files as needed for the …
GitHub - kwaldenphd/propublica-compas-lab: ProPublica COMPAS …
In compas-scores-two-years.csv, the ProPublica team selected fields for severity of charge, number of priors, demographics, age, sex, compas scores, and whether each person was accused of a crime within two years. We can see we have 52 columns/fields, and 7,214 rows/records in this dataset.
[1906.04711] ProPublica's COMPAS Data Revisited - arXiv.org
2019年6月11日 · ProPublica's COMPAS data is used in an increasing number of studies to test various definitions of algorithmic fairness. This paper takes a closer look at the actual datasets put together by ProPublica.
compas-analysis/Compas Analysis.ipynb at master · propublica ... - GitHub
Data and analysis for 'Machine Bias'. Contribute to propublica/compas-analysis development by creating an account on GitHub.
COMPAS Dataset - Papers With Code
COMPAS (machine bias risk assessments in criminal sentencing) Dataset used by ProPublica to assess and analyse the fairness of the COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) software.
ProPublica’s COMPAS data is used in an increasing number of studies to test various definitions of algorithmic fairness. This paper takes a closer look at the actual datasets put together by ProPublica.
Bias in Criminal Risk Scores Is Mathematically Inevitable ... - ProPublica
2016年12月30日 · ProPublica’s analysis of bias against black defendants in criminal risk scores has prompted research showing that the disparity can be addressed — if the algorithms focus on the fairness of...
- 某些结果已被删除一些您可能无法访问的结果已被隐去。显示无法访问的结果