Ryan Steed

According to our database, Ryan Steed authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing.

Ryan Steed, Diana Qing, Zhiwei Steven Wu

CoRR, 2024

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.

Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji

CoRR, 2024

AI auditing: The Broken Bus on the Road to AI Accountability.

Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

Learning to Live with Privacy-Preserving Analytics.

Alessandro Acquisti, Ryan Steed

Commun. ACM, July, 2023

2022

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models.

Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild.

Ryan Steed, Aylin Caliskan

AI Ethics, 2021

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases.

Ryan Steed, Aylin Caliskan

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Heuristic-Based Weak Learning for Moral Decision-Making.

Ryan Steed

CoRR, 2020

Machines Learn Appearance Bias in Face Recognition.

Ryan Steed, Aylin Caliskan

CoRR, 2020