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Artificial intelligence and machine learning are transforming nearly every area of human endeavor—bringing tremendous opportunities as well as profound ethical implications and societal impacts.
The AI.Humanity Initiative brings together the full intellectual power of Emory University to shape the AI revolution to better human health, generate economic value, and promote social justice.
Learn more about the Emory AI.Humanity Initiative »
Ifeoma Ajunwa (Founding Director)
- Ajunwa, Ifeoma, The Quantified Worker: Law and Technology in the Modern Workplace, Cambridge University Press, 2023
- Ajunwa, Ifeoma, Automated Governance, 101 N.C. L. REV. 355 (2023).
- Ajunwa, Ifeoma, Automated Video Interviewing as the New Phrenology, 36 Berkeley Tech. L.J. 101 (2022).
- Ajunwa, Ifeoma, An Auditing Imperative for Automated Hiring, 34 Harv. J.L. & Tech. 1 (2021).
- Ajunwa, Ifeoma, The Paradox of Automation as Anti-Bias Intervention, 41 Cardozo, L. Rev. 1671 (2020).
- Ajunwa, Ifeoma and Crawford, Kate and Schultz, Jason, Limitless Worker Surveillance, 105 Cal. L. Rev. 735 (2017).
Matthew Sag
- Sag, Matthew, "Copyright Safety for Generative AI." Forthcoming in the Houston Law Review, Vol. 61, No. 2, 2023.
- Artificial Intelligence and Intellectual Property – Part II: Copyright and Artificial Intelligence: Hearing before the U.S. Senate Committee on the Judiciary Subcommittee on Intellectual Property, 118th Cong. (2023).
- Sean M. Flynn, Matthew Sag, et al., and Jorge L. Contreras, Legal reform to enhance global text and data mining research, 378 Science 6623 (1 Dec 2022), 951-953.
- Sag, Matthew, The New Legal Landscape for Text Mining and Machine Learning, 66 Journal of the Copyright Society of the U.S.A. 291–367 (2019).
Kevin M. Quinn
- Greiner, D. James and Kevin M. Quinn, Exit Polling and Racial Bloc Voting: Combining Individual- Level and R × C Ecological Data, Annals of Applied Statistics, 4: 1774-1796 (2010).
- Ruger, Theodore W.; Pauline T. Kim; Andrew D. Martin; and Kevin M. Quinn, The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decision- Making, Columbia Law Review, 104: 1150-1210 (2004).
- Martin, Andrew D. and Kevin M. Quinn, Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999, Political Analysis 10: 134-153 (2002).
Deepa Das Acevedo
- Das Acevedo, Deepa, Data Deficits in Municipal Rideshare Collaborations, St. Louis University Law Journal, 63, Law, Technology, and the Organization of Work (2018).
- Das Acevedo, Deepa, Unbundling Freedom in The Sharing Economy, Southern California Law Review, 91:793-838 (2017).
- Das Acevedo, Deepa, Invisible Bosses for Invisible Workers, or Why the Sharing Economy is Actually Minimally Disruptive, University of Chicago Legal Forum: Vol. 2017, Article 3 (2018).