1. Philip Adler , Casey Falk , Sorelle A. Friedler , Tionney Nix , Gabriel Rybeck , Carlos Scheidegger , Brandon Smith , and Suresh Venkatasubramanian . 2018. Auditing black-box models for indirect influence. 54, 1 ( 2018 ), 95–122. https://doi.org/10.1007/s10115-017-1116-3 10.1007/s10115-017-1116-3 Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, and Suresh Venkatasubramanian. 2018. Auditing black-box models for indirect influence. 54, 1 (2018), 95–122. https://doi.org/10.1007/s10115-017-1116-3
2. Julia Angwin and Jeff Larson. 2016. Machine Bias. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Julia Angwin and Jeff Larson. 2016. Machine Bias. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
3. Studying up
4. When not to design, build, or deploy
5. Solon Barocas and Andrew D. Selbst. 2016. Big data’s disparate impact. (2016). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899 Solon Barocas and Andrew D. Selbst. 2016. Big data’s disparate impact. (2016). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899