A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. - Ahmed Magooda; Alec Helyar; Kyle Jackson; David Sullivan; Chad Atalla; Emily Sheng; Dan Vann; Richard Edgar; Hamid Palangi; Roman Lutz; Hongliang Kong; Vincent Yun; et al. (CoRR, 2023)

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. - Harsha Nori; Yin Tat Lee; Sheng Zhang 012; Dean Carignan; Richard Edgar; Nicolò Fusi; Nicholas King; Jonathan Larson; Yuanzhi Li; Weishung Liu; Renqian Luo; Scott Mayer McKinney; et al. (CoRR, 2023)

Fairlearn: Assessing and Improving Fairness of AI Systems. - Hilde J. P. Weerts; Miroslav Dudík; Richard Edgar; Adrin Jalali; Roman Lutz; Michael Madaio (J. Mach. Learn. Res., 2023)

Steering Language Model Refusal with Sparse Autoencoders. - Kyle O'Brien; David Majercak; Xavier Fernandes; Richard Edgar; Jingya Chen; Harsha Nori; Dean Carignan; Eric Horvitz; Forough Poursabzi-Sangdeh (CoRR, 2024)