A Quantitative History of A.I. Research in the United States and China. - Daniel Ish; Andrew Lohn; Christian Curriden (CoRR, 2020)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Miles Brundage; Shahar Avin; Jasmine Wang; Haydn Belfield; Gretchen Krueger; Gillian K. Hadfield; Heidy Khlaaf; Jingying Yang; Helen Toner; Ruth Fong; Tegan Maharaj; Pang Wei Koh; et al. (CoRR, 2020)

Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications. - Micah Musser; Andrew Lohn; James X. Dempsey; Jonathan M. Spring; Ram Shankar Siva Kumar; Brenda Leong; Christina Liaghati; Cindy Martinez; Crystal D. Grant; Daniel Rohrer; Heather Frase; Jonathan Elliott; et al. (CoRR, 2023)

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings. - Sarah Shoker; Andrew W. Reddie; Sarah Barrington; Ruby Booth; Miles Brundage; Husanjot Chahal; Michael Depp; Bill Drexel; Ritwik Gupta; Marina Favaro; Jake Hecla; Alan Hickey; et al. (CoRR, 2023)