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2020 – today
- 2024
[c3]Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji:
AI auditing: The Broken Bus on the Road to AI Accountability. SaTML 2024: 612-643- [i6]Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji:
AI auditing: The Broken Bus on the Road to AI Accountability. CoRR abs/2401.14462 (2024) - [i5]Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji:
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling. CoRR abs/2402.17861 (2024) - [i4]Ryan Steed, Diana Qing, Zhiwei Steven Wu:
Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing. CoRR abs/2407.04776 (2024) - 2023
- [j2]Alessandro Acquisti
, Ryan Steed:
Learning to Live with Privacy-Preserving Analytics. Commun. ACM 66(7): 24-27 (2023) - 2022
- [c2]Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick:
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models. ACL (1) 2022: 3524-3542 - 2021
- [j1]Ryan Steed, Aylin Caliskan:
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild. AI Ethics 1(3): 249-260 (2021) - [c1]Ryan Steed, Aylin Caliskan:
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. FAccT 2021: 701-713 - 2020
- [i3]Ryan Steed, Aylin Caliskan:
Machines Learn Appearance Bias in Face Recognition. CoRR abs/2002.05636 (2020) - [i2]Ryan Steed:
Heuristic-Based Weak Learning for Moral Decision-Making. CoRR abs/2005.02342 (2020) - [i1]Ryan Steed, Aylin Caliskan:
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. CoRR abs/2010.15052 (2020)
Coauthor Index
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