Coded Bias

Eugene Santos

Professor of Engineering, Dartmouth College


Jacqueline Wernimont

Distinguished Chair, Digital Humanities and Social Engagement, Dartmouth College; Associate Professor, Women's, Gender, and Sexuality Studies; Co-director, Humanities, Arts, Science, and Technology Alliance and Collaboratory


Christina Lu

Software engineer, DeepMind

moderated by

Marcos Stafne

Executive Director, Montshire Museum of Science

Coded Bias— [ONLINE] AI bias and its consequences

Computer engineers Christina Lu and Eugene Santos discuss bias in artificial intelligence with tech historian and digital media expert Jacque Wernimont.

Film Synopsis

An exploration of the implications of MIT Media Lab researcher Joy Buolamwini's startling discovery that racial bias is written into the code of facial recognition algorithms.

Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence (AI) increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software does not accurately identify darker-skinned faces and the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, AI is not neutral, and women are leading the charge to ensure our civil rights are protected.

Image courtesy of Shalini Kantayya