An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature-Reference-Cited by-同舟云学术

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Abdu Amina A.¹^ORCID,Pasquetto Irene V.¹^ORCID,Jacobs Abigail Z.¹^ORCID

Affiliation:

1. University of Michigan, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594083

Reference45 articles.

1. Racial categories in machine learning

2. The Values Encoded in Machine Learning Research

3. Abeba Birhane , Elayne Ruane , Thomas Laurent , Matthew S. Brown , Johnathan Flowers , Anthony Ventresque , and Christopher L. Dancy . 2022. The forgotten margins of AI ethics . In 2022 ACM Conference on Fairness, Accountability, and Transparency. 948–958 . Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, and Christopher L. Dancy. 2022. The forgotten margins of AI ethics. In 2022 ACM Conference on Fairness, Accountability, and Transparency. 948–958.

4. Who Is an Indian Child? Institutional Context, Tribal Sovereignty, and Race-Making in Fragmented States;Brown Hana E.;American Sociological Review,2020

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