AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services-Reference-Cited by-同舟云学术

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services

Published:2024-06-03 Issue: Volume:16 Page:713-732
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Tang Ningjing¹^ORCID,Zhi Jiayin¹^ORCID,Kuo Tzu-Sheng²^ORCID,Kainaroi Calla³^ORCID,Northup Jeremy J.⁴^ORCID,Holstein Kenneth¹^ORCID,Zhu Haiyi¹^ORCID,Heidari Hoda¹^ORCID,Shen Hong¹^ORCID

Affiliation:

1. Carnegie Mellon University, USA

2. Carnegie Mellon University, United States

3. Independent Researcher, USA

4. Point Park University, USA

Funder

Carnegie Mellon University Block Center for Technology and Society

Public Interest Technology University Network

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3658935

Reference82 articles.

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4. Sarah Bird, Miro Dudík, Richard Edgar, Brandon Horn, Roman Lutz, Vanessa Milan, Mehrnoosh Sameki, Hanna Wallach, and Kathleen Walker. 2020. Fairlearn: A toolkit for assessing and improving fairness in AI. Microsoft, Tech. Rep. MSR-TR-2020-32 (2020).

5. Power to the People? Opportunities and Challenges for Participatory AI