Ryan Steed

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.
CHI
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
2024 — conf
AI auditing: The Broken Bus on the Road to AI Accountability.
SaTML
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
2024 J jnl
AI auditing: The Broken Bus on the Road to AI Accountability.
CoRR
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
2024 J jnl
Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing.
CoRR
Ryan Steed, Diana Qing, Zhiwei Steven Wu
2024 J jnl
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.
CoRR
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
2023 J jnl
Learning to Live with Privacy-Preserving Analytics.
Commun. ACM
Alessandro Acquisti, Ryan Steed
2022 — conf
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models.
ACL (1)
Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick
2021 J jnl
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild.
AI Ethics
Ryan Steed, Aylin Caliskan
2021 — conf
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases.
FAccT
Ryan Steed, Aylin Caliskan
2020 J jnl
Heuristic-Based Weak Learning for Moral Decision-Making.
CoRR
Ryan Steed
2020 J jnl
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases.
CoRR
Ryan Steed, Aylin Caliskan
2020 J jnl
Machines Learn Appearance Bias in Face Recognition.
CoRR
Ryan Steed, Aylin Caliskan