The Right to Be an Exception to a Data-Driven Rule
Sarah H. Cen and Manish Raghavan. MIT Case Studies in Social and Ethical Responsibilities of Computing, 2023Press: Forbes
Other Writing
Press: Forbes
Testimony at the EEOC Hearing on Navigating Employment Discrimination in AI and Automated Systems: A New Civil Rights Frontier
Manish Raghavan. 2023See here for more information on the hearing
Hybrid Intelligence: A Paradigm for More Responsible Practice
James Guszcza, David Danks, Craig R. Fox, Kristian J. Hammond, Daniel E. Ho, Alex Imas, James Landay, Margaret Levi, Jennifer Logg, Rosalind W. Picard, Manish Raghavan, Allison Stanger, Zachary Ugolnik and Anita Williams Woolley. Technical report, 2022The Societal Impacts of Algorithmic Decision-Making
Manish Raghavan. PhD Thesis, 2021ACM Doctoral Dissertation Award; SIGecom Doctoral Dissertation Award Honorable Mention; Cornell Computer Science PhD Dissertation Award
Fairness On The Ground: Applying Algorithmic Fairness Approaches To Production Systems
Chloé Bakalar, Renata Barreto, Stevie Bergman, Miranda Bogen, Bobbie Chern, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam, Joaquin Quiñonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, and Jiejing Zhao. Technical report, 2021Testimony on New York City Int. No. 1894
Manish Raghavan. 2020See the bill here