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Alexandra Wood
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2020 – today
- 2023
- [c4]Elizabeth Edenberg
, Alexandra Wood
Disambiguating Algorithmic Bias: From Neutrality to Justice. AIES 2023: 691-704 - [c3]Elizabeth Edenberg
An Epistemic Lens on Algorithmic Fairness. EAAMO 2023: 27:1-27:10 - 2022
- [c2]Ayelet Gordon-Tapiero, Alexandra Wood, Katrina Ligett:
The Case for Establishing a Collective Perspective to Address the Harms of Platform Personalization. CSLAW 2022: 119-130 - 2021
- [c1]Kobbi Nissim, Alexandra Wood
Foundations for Robust Data Protection: Co-designing Law and Computer Science. TPS-ISA 2021: 235-242
2010 – 2019
- 2019
- [i2]Micah Altman
Formalizing Privacy Laws for License Generation and Data Repository Decision Automation. CoRR abs/1910.10096 (2019) - 2018
- [j1]Micah Altman
A Harm-Reduction Framework for Algorithmic Fairness. IEEE Secur. Priv. 16(3): 34-45 (2018) - 2017
- [i1]Finale Doshi-Velez, Mason Kortz, Ryan Budish, Chris Bavitz, Sam Gershman, David O'Brien, Stuart Schieber, James Waldo, David Weinberger, Alexandra Wood:
Accountability of AI Under the Law: The Role of Explanation. CoRR abs/1711.01134 (2017)
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last updated on 2024-04-24 22:48 CEST by the dblp team
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