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Colorado law Professor Margot Kaminski discusses the issues surrounding how to regulate and build ethical AI systems. Additionally, she explains some of the risks of regulating AI, and the importance of an individual right to contest AI decisions.

Emory Law Professor Ifeoma Ajunwa discusses her new book, The Quantified Worker, Law and Technology in the Modern Workplace. She explains how the workforce science of today goes far beyond increasing efficiency and threatens to erase individual personhood.

Articles by Professor Anita Allen of the University of Pennsylvania School of Law and Professor Paul Schwartz of the University of California, Berkeley, School of Law have been honored with the FPF’s Privacy Papers for Policymakers Award.

Rotman School of Management economic scholars Joshua Gans, Ajay Agrawal, and Avi Goldfarb explain why "AI systems solutions have the potential to reduce discrimination across domains, from education to healthcare and banking."

In a UVA Common Law podcast, University of Pennsylvania law professor Anita Allen joins University of Virginia law professor Danielle Citron and UVA Law’s Dean Risa Goluboff to discuss privacy law as it specifically impacts people of color.

Dr. Kate Crawford, Research Professor at USC Annenberg, weighs in on the debate about the possibility of AI systems becoming sentient in the near future. She emphasizes that of more concern are “the types of biases or stereotypes that are very commonly built into these models.”

University of North Carolina School of Law professor Ifeoma Ajunwa addresses unintended bias in automated decision-making.

In this article written for The Atlantic, Annenberg School for Communications professor Joseph Turow explains that the data mining and in-store tracking practices used by retail stores to offer special deals for individual customers raises issues of discrimination and privacy.