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The people, podcasts, and papers to check out on AI bias

AI bias is a rapidly changing field. Below you’ll find the people to follow to stay on top of it, along with the books, papers, podcasts, and other resources you need to get up to speed.

AI bias is a rapidly changing field. Below you’ll find the people to follow to stay on top of it, along with the books, papers, podcasts, and other resources you need to get up to speed.

Exponential View (particularly this episode)

Your Undivided Attention, from the Center for Humane Technology

People to follow

Josh Lovejoy, head of design, Microsoft Cloud and AI

Dorothea Baur, consultant

Arvind Narayanan, Princeton University

Cathy O’Neil, algorithmic auditor

Joanna Bryson, University of Bath

Annette Zimmerman, Princeton University

Jacob Metcalf, Data & Society

Jason Schultz, NYU, AI Now

Joy Buolamwini, Founder, Algorithmic Justice League, MIT

Maria Axente, PwC UK

Michael Kearns, University of Pennsylvania

Studying Up: Reorienting the study of algorithmic fairness around issues of power, Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

From ethics washing to ethics bashing: a view on tech ethics from within moral philosophy, Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Books

The Ethical Algorithm, Michael Kearns and Aaron Roth.

Algorithms to Live By, Brian Christian and Tom Griffiths

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