Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines-Reference-Cited by-同舟云学术

Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
language:
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Author:

Arif Khan Falaah¹,Manis Eleni²,Stoyanovich Julia¹

Affiliation:

1. New York University, USA

2. Surveillance Technology Oversight Project, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551624.3555303

Reference33 articles.

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4. Julia Angwin , Jeff Larson , Surya Mattu , and Lauren Kirchner . 2016. Machine Bias. ProPublica ( 2016 ). Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine Bias. ProPublica (2016).

5. Falaah Arif Khan , Eleni Manis , and Julia Stoyanovich . 2021 . Translation tutorial: Fairness and Friends . In 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery. Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich. 2021. Translation tutorial: Fairness and Friends. In 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery.

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