Andrew Selbst
Andrew Selbst
UCLA School of Law
Verified email at law.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Big Data's Disparate Impact
S Barocas, AD Selbst
California Law Review 104 (3), 671-732, 2016
21702016
The Intuitive Appeal of Explainable Machines
AD Selbst, S Barocas
Fordham Law Review 87, 1085-1139, 2018
2822018
Fairness and Abstraction in Sociotechnical Systems
AD Selbst, danah boyd, S Friedler, S Venkatasubramanian, J Vertesi
ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2018
2592018
Disparate Impact in Big Data Policing
AD Selbst
Georgia Law Review 52, 109-195, 2017
2502017
“Meaningful Information” and the Right to Explanation
A Selbst, J Powles
Conference on Fairness, Accountability and Transparency, 48-48, 2018
2362018
The hidden assumptions behind counterfactual explanations and principal reasons
S Barocas, AD Selbst, M Raghavan
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
532020
Contextual Expectations of Privacy
AD Selbst
Cardozo Law Review 35, 643-709, 2013
452013
Negligence and AI's Human Users
AD Selbst
Boston University Law Review 100, 1315-1376, 2020
272020
A Mild Defense of Our New Machine Overlords
AD Selbst
Vanderbilt Law Review En Banc 70, 87-104, 2017
92017
The Journalism Ratings Board: An Incentive-Based Approach to Cable News Accountability
A Selbst
U. Mich. JL Reform 44, 467, 2010
42010
Clock division as a power saving strategy in a system constrained by high transmission frequency and low data rate
AD Selbst
Massachusetts Institute of Technology, 2005
42005
An Institutional View Of Algorithmic Impact Assessments
AD Selbst
2021
Appendix D: Sources Cited in CBPP’s Comments on “Notice of Proposed Rulemaking—HUD’s Implementation of the Fair Housing Act’s Disparate Impact Standard.”
S Abedin, S Barocas, AD Selbst, M Bolton, E Bravve, S Crowley, ...
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Articles 1–13