Auditing for Human Expertise. - Rohan Alur; Loren Laine; Darrick K. Li; Manish Raghavan; Devavrat Shah; Dennis L. Shung (NeurIPS, 2023)

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. - Sarah H. Cen; Rohan Alur (EAAMO, 2024)

Human Expertise in Algorithmic Prediction. - Rohan Alur; Manish Raghavan; Devavrat Shah (NeurIPS, 2024)

Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction. - Rohan Alur; Manish Raghavan; Devavrat Shah (CoRR, 2024)

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models. - Vinith M. Suriyakumar; Rohan Alur; Ayush Sekhari; Manish Raghavan; Ashia C. Wilson (CoRR, 2024)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework. - Rohan Alur; Loren Laine; Darrick K. Li; Dennis L. Shung; Manish Raghavan; Devavrat Shah (CoRR, 2024)