This page is a list of background readings. Help us improve this list! Please submit suggestions for additional resources to “”.


Tad Hirsch, Kritzia Merced, Shrikanth Narayanan, Zac E Imel, and David C Atkins. 2017. Designing contestability: Interaction design, machine learning, and mental health. In Proc. DIS. ACM, 95–99. link

Deirdre K. Mulligan, Daniel Kluttz, and Nitin Kohli. 2019. Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions. Available at SSRN 3311894 (2019). link

Hildebrandt, Mireille. "Privacy as protection of the incomputable self: From agnostic to agonistic machine learning." Theoretical Inquiries in Law 20.1 (2019): 83-121. link

Garrett, Brandon L. and Monahan, John, Judging Risk (July 20, 2018). California Law Review, Forthcoming; Virginia Public Law and Legal Theory Research Paper No. 2018-44. link