That's not fair! - Deborah Raji (XRDS, 2019)

Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning. - Thomas Liao; Rohan Taori; Deborah Raji; Ludwig Schmidt (NeurIPS Datasets and Benchmarks, 2021)

Disentangling the Components of Ethical Research in Machine Learning. - Carolyn Ashurst; Solon Barocas; Rosie Campbell; Deborah Raji (FAccT, 2022)

Accountability in Algorithmic Systems: From Principles to Practice. - Daricia Wilkinson; Kate Crawford 002; Hanna M. Wallach; Deborah Raji; Bogdana Rakova; Ranjit Singh 001; Angelika Strohmayer; Ethan Zuckerman (CHI Extended Abstracts, 2023)

International Scientific Report on the Safety of Advanced AI (Interim Report). - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Danielle Goldfarb; Hoda Heidari; Leila Khalatbari; Shayne Longpre; Vasilios Mavroudis; et al. (CoRR, 2024)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)