Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 13 references without a DOI — listed, not checked
no DOI — not checkedPearl, J. Causality: Models, Reasoning, and Inference (Cambridge Univ. Press, 2000).
no DOI — not checkedSpirtes, P. et al. Causation, Prediction, and Search (MIT Press, 2000).
no DOI — not checkedKusner, M. J., Loftus, J., Russell, C. & Silva, R. In Advances in Neural Information Processing Systems 4066–4076 (MIT Press, 2017).
no DOI — not checkedLiu, L. T. et al. In International Conference on Machine Learning 3150–3158 (ACM, 2018).
no DOI — not checkedKusner, M., Russell, C., Loftus, J. & Silva, R. Proc. Machine Learning Res. 97, 3591–3600 (2019).
no DOI — not checkedBarocas, S. & Selbst, A. D. Calif. L. Rev. 104, 671 (2016).
no DOI — not checkedSimon, M. ‘HP looking into claim webcams can’t see black people.’ (CNN Tech, 23 December 2009).
no DOI — not checkedKilbertus, N. et al. ‘The Sensitivity of Counterfactual Fairness to Unmeasured Confounding’. In Uncertainty in Artificial Intelligence (AUAI, 2019).
no DOI — not checkedGrgic-Hlaca, N. et al. ‘The case for process fairness in learning: Feature selection for fair decision making.’ NeurIPS Symposium on Machine Learning and the Law (2016).
no DOI — not checkedZafar, M. B., Valera, I., Rogriguez, M. G. & Gummadi, K. P. In Artificial Intelligence and Statistics 962–970 (2017).
no DOI — not checkedHardt, M., Price, E. & Srebro, N. ‘Equality of opportunity in supervised learning’. In Advances in Neural Information Processing Systems 16 3315–3323 (MIT Press, 2016).
no DOI — not checkedDwork, C. et al. ‘Fairness through awareness’. In Proc. 3rd Innov. Theoret. Comp. Sci. Conf. 214–226 (ITCS, 2012).
no DOI — not checkedPizer, J. C. et al. Loy. LAL Rev. 45, 715 (2011).
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