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.
Podcasts
Innovation for All (particularly this episode and this one)
Exponential View (particularly this episode)
BBC radio on the AI ethics challenge
Your Undivided Attention, from the Center for Humane Technology
People to follow
Josh Lovejoy, head of design, Microsoft Cloud and AI
Meredith Whittaker, AI Now
Dorothea Baur, consultant
Arvind Narayanan, Princeton University
Cathy O’Neil, algorithmic auditor
Safiya Umoja Noble, UCLA
Joanna Bryson, University of Bath
Annette Zimmerman, Princeton University
Kate Crawford, AI Now
Jacob Metcalf, Data & Society
Jason Schultz, NYU, AI Now
John C. Havens, IEEE
Adam Cutler, IBM
Cassie Kozyrkov, Google
Joy Buolamwini, Founder, Algorithmic Justice League, MIT
Maria Axente, PwC UK
Chelsea Barabas, MIT
Michael Kearns, University of Pennsylvania
Papers to read
Discriminating Systems: Gender, Race, and Power in AI, AI Now
Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies, Harvard Journal of Law and Technology
The Intuitive Appeal of Explainable Machines, Fordham Law Review
Proxy Discrimination in the Age of Artificial Intelligence and Big Data, Iowa Law Review
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
Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics, Data & Society
Online tools and games
Closing Gaps Ideation Game from the Partnership on AI
Survival Of the Best Fit: a game on bias in hiring
Stealing Ur Feelings interactive documentary from Mozilla
Books
The Ethical Algorithm, Michael Kearns and Aaron Roth.
Algorithms to Live By, Brian Christian and Tom Griffiths
Algorithms of Oppression: How search engines reinforce racism, Safia Umoja Noble
Weapons of Math Destruction: How big data increases inequality and threatens democracy, Cathy O’Neil
Biased: Uncovering the hidden prejudice that shapes what we see, think, and do, Jennifer L. Eberhardt
Other resources
Algorithmic Impact Assessments: a practical framework for public agency accountability, AI Now
Salesforce AI ethics blog resource list
Microsoft on human-centered AI
World Economic Forum guide for boards on AI Ethics