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Systematic discriminatory biases present in our society influence the way data is collected and stored, the way variables are defined, and the way scientific findings are put into practice as policy.
Equivalence and synthesis of causal models
Thomas S. Verma and Judea Pearl · 1990
Earlier work this paper cites.
Neuro-Dynamic Programming
Bertsekas, D. P. and Tsitsiklis, J · 1996
Earlier work this paper cites.
Reinforcement Learning: An Introduction
Sutton, R. and Barto, A · 1998
Earlier work this paper cites.
Direct and indirect effects
Pearl, J · 2001
Earlier work this paper cites.
Causation, Prediction, and Search
Spirtes, P., Glymour, C., and Scheines, R · 2001
Earlier work this paper cites.
Optimal structural nested models for optimal sequential decisions
Robins, J. M · 2004
Earlier work this paper cites.
Optimal structural nested models for optimal sequential decisions
James M. Robins · 2004
Earlier work this paper cites.
Discrimination-aware data mining
Pedreshi, D., Ruggieri, S., and Turini, F · 2008
Earlier work this paper cites.
Causality: Models, Reasoning, and Inference
Pearl, J · 2009
Earlier work this paper cites.
Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine
Chakraborty, B. and Moodie, E. E · 2013
Earlier work this paper cites.
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
Kamiran, F., Zliobaite, I., and Calders, T · 2013
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Single world intervention graphs (SWIGs): A unification of the counterfactual and graphical approaches to causality
Richardson, T. S. and Robins, J. M · 2013
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Counterfactual graphical models for longitudinal mediation analysis with unobserved confounding
Shpitser, I · 2013
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Estimation of a semiparametric natural direct effect model incorporating baseline covariates
Eric J. Tchetgen Tchetgen and Ilya Shpitser · 2014
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Certifying and removing disparate impact
Feldman, M., Friedler, S. A., Moeller, J., Scheidegger, C., and Venkatasubramanian, S · 2015
Cited alongside, same era.
Counterfactual fairness
Kusner, M. J., Loftus, J. R., Russell, C., and Silva, R · 2017
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A causal framework for discovering and removing direct and indirect discrimination
Zhang, L., Wu, Y., and Wu, X · 2017
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A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
Chouldechova, A., Benavides-Prado, D., Fialko, O., and Vaithianathan, R · 2018
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Can an algorithm tell when kids are in danger?
Hurley, D · 2018
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Reflections on quantitative fairness
Mitchell, S. and Shalden, J · 2018
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Fair inference on outcomes
Nabi, R. and Shpitser, I · 2018
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Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks
Angwin, J., Larson, J., Mattu, S., and Kirchner, L · 2016
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Equality of opportunity in supervised learning
Hardt, M., Price, E., and Srebro, N · 2016
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Causal inference with a graphical hierarchy of interventions
Shpitser, I. and Tchetgen Tchetgen, E. J · 2016
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Algorithmic decision making and the cost of fairness
Corbett-Davies, S., Pierson, E., Feller, A., Goel, S., and Huq, A · 2017
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Fairness in reinforcement learning
Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., , and Roth, A · 2017
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Shpitser, I · 2018
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Fairness in decision-making – the causal explanation formula
Zhang, J. and Bareinboim, E · 2018
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Path-specific counterfactual fairness
Chiappa, S · 2019
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