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Dorothy R. Santos is a Filipino American storyteller, poet, artist, and scholar, and she is an assistant teaching professor in the art department and Principal Founding Faculty for Creative Technologies […]

This story is the introduction to MIT Technology Review’s series on AI colonialism, which was supported by the MIT Knight Science Journalism Fellowship Program and the Pulitzer Center. Read the […]

Paidamoyo Chapfuwa, a postdoctoral research fellow at Stanford University, will deliver a talk as part of CSRAI’s Young Achievers Symposium.   The Young Achievers Symposium highlights early career researchers in […]

“Challenges and Frontiers in Deploying Transparent Machine Learning” Explainable machine learning offers the potential to provide stakeholders with insights into model behavior, yet there is little understanding of how organizations […]

Su Lin Blodgett, a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal, will deliver a talk as part of CSRAI’s Young Achievers Symposium. […]

“Mind the Gap: From Predictions to ML-Informed Decisions” Machine learning (ML) is increasingly being used to support decision-making in many organizational settings. However, there is currently a gap between the […]

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André Brock is an Associate Professor in the School of Literature, Media & Communication at the Georgia Institute of Technology.  Dr. Brock is one of the preeminent scholars of Black […]

Crystal Lee is a PhD candidate at MIT and a Senior Fellow in Responsible Computer Science at Mozilla. Her work investigates what she calls the “life-cycle of data representations,” or […]

Mark Díaz is a research scientist with the Ethical Artificial Intelligence team at Google. His primary research probes the origins of social bias in data sets and its influence on […]

Karrie G. Karahalios is a Professor of Computer Science, a Co-director of the Center for Just Infrastructures at the University of Illinois at Urbana-Champaign, and a Senior Research Scientist at […]

The facial recognition company Clearview AI is telling investors it is on track to have 100 billion facial photos in its database within a year, enough to ensure “almost everyone in […]

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