Artificial Intelligence in Higher Education: Experts & Orgs

Benjamin, Ruha, Ph.D.

A professor of African American studies at Princeton University, founding director of the Ida B. Wells JUST Data Lab and author of four books, she writes, teaches, and speaks widely about the relationship between innovation and inequity, knowledge and power, race and citizenship, health and justice.

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Biddle, Justin B., Ph.D.

An Associate Professor in the School of Public Policy at the Georgia Institute of Technology, the director of the Ethics, Technology, and Human Interaction Center, and a Faculty Affiliate in the Georgia Tech Center for Machine Learning. He is part of the Georgia Artificial Intelligence Manufacturing Technology Corridor (GA-AIM) and led a team to facilitate the early identification and management of potential ethical and societal consequences of AI-enabled manufacturing systems. He is also co-lead of the Ethical AI Thrust of the National AI Institute on Advances in Optimization.

His research interests are interdisciplinary, drawing on the philosophy of science, technology, and medicine; ethics of emerging technologies, and science and technology policy.

Broussard, Meredith, MFA

Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.

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Buolamwini, Joy, Ph.D.

The founder of the Algorithmic Justice League, an award-winning researcher, and best-selling author, she advises world leaders, policymakers, and executives on redressing algorithmic harms. Her work is featured in global exhibitions and the documentary Coded Bias.

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Gebru, Timnit, Ph.D.

A computer scientist who works in the fields of artificial intelligence, algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in AI. Dr. Gebru was fired from Google for raising issues of discrimination in the workplace and writing about the dangers of large language models. She founded The Distributed AI Research (DAIR) Institute to work on community rooted AI research.

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Hinton, Geoffrey, Ph.D.

Known as "the godfather of AI," Dr. Hinton is a computer scientist and cognitive psychologist, most noted for his work on artificial neural networks. He left Google in 2023 after 10 years to freely discuss and educate others on his concerns about the risks of AI.

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Marcus, Gary F., Ph.D.

A leading voice in artificial intelligence and author, he is a scientist, best-selling author, and serial entrepreneur well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience.

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Noble, Safiya Umoja, Ph.D.

The David O. Sears Presidential Endowed Chair of Social Sciences and Professor of Gender Studies, African American Studies, and Information Studies at the University of California, Los Angeles (UCLA). Dr. Noble is the Director of the Center on Race & Digital Justice and Co-Director of the Minderoo Initiative on Tech & Power at the UCLA Center for Critical Internet Inquiry (C2i2).  She currently serves as Interim Director of the UCLA DataX Initiative, leading work in critical data studies for the campus. Professor Noble is the author of the best-selling book on racist and sexist algorithmic harm in commercial search engines, entitled Algorithms of Oppression. In 2021, she was recognized as a MacArthur Foundation Fellow for her ground-breaking work on algorithmic discrimination. 

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Russell, Stuart J., Ph.D.

A Distinguished Professor of Computer Science, University of California, Berkeley, and Smith-Zadeh Professor in Engineering; Professor of Cognitive Science; Professor of Computational Precision Health, UCSF; and Honorary Fellow of Wadham College, Oxford. His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, global seismic monitoring, and philosophical foundations.

His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity.