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Predicting Recidivism Risk Meets AI Act
15 references·3 citing·49 second hop
Predicting Recidivism Risk Meets AI Act (2022)Predicting Recidivism Risk Meets AI ActLegal AI Systems in the EU’s proposed Artificial Intelligence Act (2022)Legal AI Systems in the EU’s …The limits of human predictions of recidivism (2020)The limits of human predictio…The Age of Secrecy and Unfairness in Recidivism Prediction (2020)The Age of Secrecy and Unfair…Measuring the predictability of life outcomes with a scientific mass collaboration (2020)Measuring the predictability …Algorithmic justice: Algorithms and big data in criminal justice settings (2019)Algorithmic justice: Algorith…The accuracy, fairness, and limits of predicting recidivism (2018)The accuracy, fairness, and l…Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment (2018)Layers of Bias: A Unified App…New York University Law Review (2017)New York University Law ReviewAlgorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing (2017)Algorithms in the Criminal Ju…RISK, RACE, AND RECIDIVISM: PREDICTIVE BIAS AND DISPARATE IMPACT* (2016)RISK, RACE, AND RECIDIVISM: P…Risk Assessment in Criminal Sentencing (2015)Risk Assessment in Criminal S…Youth Level of Service/Case Management Inventory 2.0 (2012)Youth Level of Service/Case M…Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System (2008)Evaluating the Predictive Val…Improving risk assessments for sex offenders: A comparison of three actuarial scales. 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References

  • 1974Judgment under Uncertainty: Heuristics and Biases28,742 cited
  • 2017New York University Law Review2,872 cited
  • 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
  • 2000Improving risk assessments for sex offenders: A comparison of three actuarial scales.1,052 cited
  • 2008Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System340 cited
  • 2020Measuring the predictability of life outcomes with a scientific mass collaboration320 cited
  • 2016RISK, RACE, AND RECIDIVISM: PREDICTIVE BIAS AND DISPARATE IMPACT*265 cited
  • 2015Risk Assessment in Criminal Sentencing256 cited
  • 2019Algorithmic justice: Algorithms and big data in criminal justice settings239 cited
  • 2020The Age of Secrecy and Unfairness in Recidivism Prediction177 cited
  • 2018Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment155 cited
  • 2017Algorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing131 cited
  • 2020The limits of human predictions of recidivism112 cited
  • 2012Youth Level of Service/Case Management Inventory 2.072 cited
  • 2022Legal AI Systems in the EU’s proposed Artificial Intelligence Act

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24 cited

Cited by

  • 2023Ready but irresponsible? Analysis of the Government Artificial Intelligence Readiness Index32 cited
  • 2024Supporting Trustworthy AI Through Machine Unlearning19 cited
  • 2025Transparent and bias-resilient AI framework for recidivism prediction using deep learning and clustering techniques in criminal justice12 cited