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On (assessing) the fairness of risk score models
16 references·0 citing·43 second hop
On (assessing) the fairness of risk score models (2023)On (assessing) the fairness of risk score…The (Im)possibility of fairness (2021)The (Im)possibility of fairne…Moving beyond “algorithmic bias is a data problem” (2021)Moving beyond “algorithmic bi…Measurement and Fairness (2021)Measurement and FairnessAn empirical characterization of fair machine learning for clinical risk prediction (2020)An empirical characterization…Procedural Justice in Algorithmic Fairness (2019)Procedural Justice in Algorit…Fairness and Abstraction in Sociotechnical Systems (2019)Fairness and Abstraction in S…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Disparate Interactions (2019)Disparate InteractionsThe accuracy, fairness, and limits of predicting recidivism (2018)The accuracy, fairness, and l…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…The size and burden of mental disorders and other disorders of the brain in Europe 2010 (2011)The size and burden of mental…Probabilistic Forecasts, Calibration and Sharpness (2007)Probabilistic Forecasts, Cali…The Comparison and Evaluation of Forecasters (1983)The Comparison and Evaluation…A New Vector Partition of the Probability Score (1973)A New Vector Partition of the…The spread of low-credibility content by social botsTheory of Games and Statistical Decisions. (1955)Elicitation of Personal Probabilities and Expectations (1971)Scoring rules and the evaluation of probabilities (1996)Combining Probability Forecasts (2010)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Probabilistic Forecasting (2014)Forecasting: theory and practice (2022)Diagnostic and Statistical Manual of Mental Disorders (1988)The PHQ-9 (2001)Twelve‐month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013 (2014)Why is depression more common among women than among men? (2016)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)Fairness definitions explained (2018)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Machine behaviour (2019)A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!* (1996)Predicting relapse: A meta-analysis of sexual offender recidivism studies. (1998)The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. (2009)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other (1984)Science in action : how to follow scientists and engineers through society (1987)Science in Action: How to Follow Scientists and Engineers through Society (1988)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)On the Opportunities and Risks of Foundation Models (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Algorithmic Bias in Education (2021)Norm theory: Comparing reality to its alternatives. (1986)Ambiguity and self-evaluation: The role of idiosyncratic trait definitions in self-serving assessments of ability. (1989)Forecast Verification (2011)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2011The size and burden of mental disorders and other disorders of the brain in Europe 20103,749 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2007Probabilistic Forecasts, Calibration and Sharpness1,774 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 1973A New Vector Partition of the Probability Score1,120 cited
  • 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 1983The Comparison and Evaluation of Forecasters603 cited
  • 2021Measurement and Fairness362 cited
  • 2019Disparate Interactions275 cited
  • 2021The (Im)possibility of fairness262 cited
  • 2019Procedural Justice in Algorithmic Fairness226 cited
  • 2021Moving beyond “algorithmic bias is a data problem”181 cited
  • 2020An empirical characterization of fair machine learning for clinical risk prediction

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