Concepedia

Ryan Steed

RS

Statistics

Publications

6

Citations

333

H-Index

6

Active since

2021

Affiliations

Carnegie Mellon University(Current)

University of California, Berkeley

Data & Society Research Institute

Brown University

Trinity College Dublin

Ryan Steed is an author at Carnegie Mellon University specializing in computing, machine learning, and computer science.

Publications per year

2021–2025

6

Publications

6

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

Ryan Steed, Aylin Caliskan · 2021 · 152 citations · Full text

Computing, Computer Science, Social Psychology +14

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

Abeba Birhane, Ryan Steed, Victor Ojewale et al. · 2024 · 84 citations

Business, Accountancy, Artificial Intelligence +15

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

Ryan Steed, Swetasudha Panda, Ari Kobren et al. · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 2022 · 42 citations · Full text

Social Sciences, Computer Science, Social Psychology +14

Policy impacts of statistical uncertainty and privacy

Ryan Steed, Terrance Liu, Zhiwei Steven Wu et al. · Science · 2022 · 21 citations

Computing, Public Policy, Statistics +13

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

Victor Ojewale, Ryan Steed, Briana Vecchione et al. · 2025 · 20 citations · Full text

Computing, Computer Science, Artificial Intelligence +13

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