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SoK: Machine Learning Governance
16 references·0 citing·31 second hop
SoK: Machine Learning Governance (2021)SoK: Machine Learning GovernanceA Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…To Predict and Serve? (2016)To Predict and Serve?Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessDecision Theory for Discrimination-Aware Classification (2012)Decision Theory for Discrimin…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…The Complexity of Computing a Nash Equilibrium (2009)The Complexity of Computing a…Detecting Change in Data Streams (2004)Detecting Change in Data Stre…Zur Theorie der Gesellschaftsspiele (1928)Non-Cooperative Games (1951)Equilibrium Points of Bimatrix Games (1964)Intrinsic robustness of the price of anarchy (2009)Games on Networks (2014)Core Challenges of Social Robot Navigation: A Survey (2023)Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Data Feminism (2020)On the Opportunities and Risks of Foundation Models (2021)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation (2009)Sequential change‐point detection based on direct density‐ratio estimation (2011)What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data (2011)Fairness definitions explained (2018)Machine behaviour (2019)
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References

  • 2012Fairness through awareness3,501 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2009The Complexity of Computing a Nash Equilibrium922 cited
  • 2004Detecting Change in Data Streams809 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2016To Predict and Serve?611 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited

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