Ryan Steed

According to our database, Ryan Steed authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

CoRR, 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