Interrogating the T in FAccT-Reference-Cited by-同舟云学术

Interrogating the T in FAccT

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

Corbett Eric¹^ORCID,Denton Emily¹^ORCID

Affiliation:

1. Google Research, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594104

Reference95 articles.

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3. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

4. Anatomy of an AI System: https://anatomyof.ai/. Accessed: 2023-02-05. Anatomy of an AI System: https://anatomyof.ai/. Accessed: 2023-02-05.

5. Anik , A.I. and Bunt , A . 2021. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency . Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems ( New York, NY, USA , May 2021 ), 1–13. Anik, A.I. and Bunt, A. 2021. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, May 2021), 1–13.

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