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
22872016
The Intuitive Appeal of Explainable Machines
AD Selbst, S Barocas
Fordham Law Review 87, 1085-1139, 2018
3022018
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
2892018
Disparate Impact in Big Data Policing
AD Selbst
Georgia Law Review 52, 109-195, 2017
2622017
“Meaningful Information” and the Right to Explanation
A Selbst, J Powles
Conference on Fairness, Accountability and Transparency, 48-48, 2018
2522018
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
602020
Contextual Expectations of Privacy
AD Selbst
Cardozo Law Review 35, 643-709, 2013
482013
Negligence and AI's Human Users
AD Selbst
Boston University Law Review 100, 1315-1376, 2020
302020
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
The system can't perform the operation now. Try again later.
Articles 1–12