Ryan Steed

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Image Representation

Top Venues

Publications

Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
AI auditing: The Broken Bus on the Road to AI Accountability. CoRR (2024)
Ryan Steed, Diana Qing, Zhiwei Steven Wu
Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing. CoRR (2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
AI auditing: The Broken Bus on the Road to AI Accountability. SaTML (2024)
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling. CoRR (2024)
Alessandro Acquisti, Ryan Steed
Learning to Live with Privacy-Preserving Analytics. Commun. ACM 66 (7) (2023)
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)
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) (2021)
Ryan Steed, Aylin Caliskan
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. FAccT (2021)
Ryan Steed, Aylin Caliskan
Machines Learn Appearance Bias in Face Recognition. CoRR (2020)
Ryan Steed
Heuristic-Based Weak Learning for Moral Decision-Making. CoRR (2020)
Ryan Steed, Aylin Caliskan
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. CoRR (2020)