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'Un'Fair Machine Learning Algorithms
11 references·6 citing·42 second hop
'Un'Fair Machine Learning Algorithms (2019)'Un'Fair Machine Learning AlgorithmsPredictably Unequal? The Effects of Machine Learning on Credit Markets (2021)Predictably Unequal? The Effe…Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb (2021)Frontiers: Can an Artificial …Crowds, Lending, Machine, and Bias (2021)Crowds, Lending, Machine, and…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Delayed Impact of Fair Machine Learning (2019)Delayed Impact of Fair Machin…A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2018)A case study of algorithm-ass…Human Decisions and Machine Predictions (2017)Human Decisions and Machine P…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Data-Driven Discrimination at Work (2017)Data-Driven Discrimination at…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactPublic perception of accuracy-fairness trade-offs in algorithmic decisions in the United States (2025)Public perception of accuracy…The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence (2023)The Anchoring Effect, Algorit…Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument (2023)Measuring responsible artific…Algorithmic Fairness in AI (2023)Algorithmic Fairness in AIThe statistical fairness field guide: perspectives from social and formal sciences (2022)The statistical fairness fiel…Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective (2022)Integrating Behavioral, Econo…Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)A Survey on Bias and Fairness in Machine Learning (2021)Counterfactual Fairness (2017)An empirical characterization of fair machine learning for clinical risk prediction (2020)Fairness in credit scoring: Assessment, implementation and profit implications (2021)Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review (2022)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Salience Theory of Choice Under Risk (2012)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems (2019)Machine learning and human capital complementarities: Experimental evidence on bias mitigation (2020)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic bias: Senses, sources, solutions (2021)Algorithmic bias in machine learning-based marketing models (2022)A framework for AI-powered service innovation capability: Review and agenda for future research (2023)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)A Theory of the Term Structure of Interest Rates (1985)Designing Digital Market Offerings: How Digital Ventures Navigate the Tension Between Generative Digital Technology and the Current Environment (2022)Crowdfunding platforms: a systematic literature review and a bibliometric analysis (2023)The formal rationality of artificial intelligence-based algorithms and the problem of bias (2023)Forecasting Default with the Merton Distance to Default Model (2008)In Search of Distress Risk (2008)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Bond Risk Premiums with Machine Learning (2020)The Ethics of Artificial Intelligence (2023)Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination (2017)From human resources to human rights: Impact assessments for hiring algorithms (2021)Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey (2024)Fairness definitions explained (2018)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Machine behaviour (2019)Aequitas: A Bias and Fairness Audit Toolkit (2018)Value-Sensitive Algorithm Design (2018)Toward Algorithmic Accountability in Public Services (2019)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)
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References

  • 2014Big Data's Disparate Impact3,046 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2021Predictably Unequal? The Effects of Machine Learning on Credit Markets767 cited
  • 2017Human Decisions and Machine Predictions545 cited
  • 2020A snapshot of the frontiers of fairness in machine learning355 cited
  • 2018A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions230 cited
  • 2019Delayed Impact of Fair Machine Learning211 cited
  • 2017Data-Driven Discrimination at Work141 cited
  • 2021Crowds, Lending, Machine, and Bias126 cited
  • 2021Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb110 cited

Cited by

  • 2023The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence61 cited
  • 2023Algorithmic Fairness in AI56 cited
  • 2022The statistical fairness field guide: perspectives from social and formal sciences51 cited
  • 2022Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective

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26 cited
  • 2023Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument25 cited
  • 2025Public perception of accuracy-fairness trade-offs in algorithmic decisions in the United States13 cited