On 18 October 2021, Ruha Benjamin, Professor of African American Studies at Princeton University, gave the Obert C. Tanner Lecture on Artificial Intelligence and Human Values, then joined by respondents Dr Shakir Mohamed, Dr Mónica G. Moreno Figueroa and Professor Sennay Ghebreab.
From everyday apps to complex algorithms, technology has the potential to hide, speed, and deepen discrimination, while appearing neutral and even benevolent when compared to racist practices of a previous era. In this talk, Professor Ruha Benjamin examines biased bots, altruistic algorithms, and their many entanglements, and provides conceptual tools to decode tech promises with historical and sociological insight. She also considers how race itself is a tool designed to stratify and sanctify social injustice, and challenges us to question not only the technologies we are sold, but also the ones we manufacture ourselves.
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Ruha Benjamin is Professor of African American Studies at Princeton University, Founding Director of the Ida B. Wells Just Data Lab, and author of the award-winning book 'Race After Technology: Abolitionist Tools for the New Jim Code' among many other publications. Her work investigates the social dimensions of science, medicine, and technology with a focus on the relationship between innovation and inequity, health and justice, knowledge and power.
Learn more on Clare Hall's Obert C. Tanner Lectures at [ Ссылка ]
0:00 Introduction by Professor Alan Short
4:06 Professor Ruha Benjamin
55:08 Dr Steven Cave
59:12 Dr Shakir Mohamed
1:14:54 Dr Mónica G Moreno Figueroa
1:30:20 Professor Sennay Ghebreab
1:43:52 Q&A
References:
Legal Identity, Race and Belonging in the Dominican Republic From Citizen to Foreigner, Kalaf, E. H. D.
How Eugenics Shaped Statistics, Aubrey Clayton
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Smart Borders or a Humane World?
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Race after technology, Ruha Benjamin
Captivating Technology: Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life, Ruha Benjamin
How a Popular Medical Device Encodes Racial Bias, Amy Moran-Thomas
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Advancing Racial Literacy in Tech
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