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Complex statistical machine learning models are increasingly being used or considered for use in high-stakes decision-making pipelines in domains such as financial services, health care, criminal justice and human services.
Classification and regression trees
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COMPAS Risk & Need Assessment System: Selected Questions Posed by Inquiring Agencies
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Tests of measurement invariance without subgroups: a generalization of classical methods
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How big data is unfair: Understanding sources of unfairness in data driven decision making
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A peek into the black box: exploring classifiers by randomization
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partykit: A Modular Toolkit for Recursive Partytioning in R
Torsten Hothorn and Achim Zeileis. 2015 · 2015
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Auditing black-box models by obscuring features
Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems. In Security and Privacy (SP), 2016 IEEE Symposium on
Anupam Datta, Shayak Sen, and Yair Zick. 2016 · 2016
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Equality of opportunity in supervised learning. In Advances in Neural Information Processing Systems
Moritz Hardt, Eric Price, Nati Srebro, et al · 2016
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Identifying Significant Predictive Bias in Classifiers
Zhe Zhang and Daniel B Neill. 2016 · 2016
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Fairness in Criminal Justice Risk Assessments: The State of the Art
Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns, and Aaron Roth. 2017 · 2017
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
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Philip Adler, Casey Falk, Sorelle A Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, and Suresh Venkatasubramanian. 2016 · 2016
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How We Analyzed the COMPAS Recidivism Algorithm
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016a · 2016
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Machine Bias: There’s Software Used Across the Country to Predict Future Criminals. And it’s Biased Against Blacks
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016b · 2016
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Alexandra Chouldechova. 2017 · 2017
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Algorithmic decision making and the cost of fairness
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz Huq. 2017 · 2017
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Inherent Trade-Offs in the Fair Determination of Risk Scores. In Proceedings of Innovations in Theoretical Computer Science (ITCS)
Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2017 · 2017
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