Chris Russell

affiliation not provided to SSRN

SCHOLARLY PAPERS

5

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SSRN CITATIONS
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Top 15,729

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73

CROSSREF CITATIONS

5

Scholarly Papers (5)

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1.

Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR

Harvard Journal of Law & Technology, 31 (2), 2018
Number of pages: 47 Posted: 02 Nov 2017 Last Revised: 22 Apr 2019
Sandra Wachter, Brent Mittelstadt and Chris Russell
University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and affiliation not provided to SSRN
Downloads 5,473 (2,444)
Citation 162

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accountability, algorithms, artificial intelligence, auditing, automated decision-making, counterfactuals, data ethics, data protection, explainability, GDPR, interpretability, machine learning, right to explanation, transparency

2.

Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI

Computer Law & Security Review 41 (2021): 105567.
Number of pages: 72 Posted: 27 Mar 2020 Last Revised: 28 Sep 2021
Sandra Wachter, Brent Mittelstadt and Chris Russell
University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and affiliation not provided to SSRN
Downloads 5,410 (2,499)
Citation 7

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AI, EU, Non-Discrimination Law, Fairness, Discrimination, Bias, Algorithms, Law, Demographic Parity, Machine Learning, Artificial Intelligence, Algorithms

3.

Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law

West Virginia Law Review, Vol. 123, No. 3, 2021
Number of pages: 51 Posted: 03 Mar 2021 Last Revised: 19 Aug 2021
Sandra Wachter, Brent Mittelstadt and Chris Russell
University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and affiliation not provided to SSRN
Downloads 3,689 (4,844)
Citation 19

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artificial intelligence, machine learning, law, discrimination, non-discrimination, anti-discrimination, algorithms, European Union, bias, fairness, automated decision-making, fairness metrics, equality, substantive equality, formal equality, auditing

4.

Explaining Explanations in AI

Proceedings of FAT* ’19: Conference on Fairness, Accountability, and Transparency (FAT* ’19), January 29–31, 2019, Atlanta, GA, USA. ACM, New York, NY, USA, doi/10.1145/3287560.3287574, ISBN: 978-1-4503-6125-5
Number of pages: 10 Posted: 27 Nov 2018
Brent Mittelstadt, Chris Russell and Sandra Wachter
University of Oxford - Oxford Internet Institute, affiliation not provided to SSRN and University of Oxford - Oxford Internet Institute
Downloads 981 (37,797)
Citation 16

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interpretability, explanations, accountability, philosophy of science, data ethics, machine learning, artificial intelligence, automated decision-making

5.

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

Michigan Technology Law Review (forthcoming)
Number of pages: 49 Posted: 24 Jan 2023 Last Revised: 13 Apr 2023
Brent Mittelstadt, Sandra Wachter and Chris Russell
University of Oxford - Oxford Internet Institute, University of Oxford - Oxford Internet Institute and affiliation not provided to SSRN
Downloads 590 (74,995)

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artificial intelligence, machine learning, fairness, bias, discrimination, distributive justice, philosophy, egalitarianism, equality law, anti-discrimination law