Here’s a new cartoon on AI bias and the magical thinking that AI is unbiased because technology is neutral. Bias comes from the data that algorithms use, so the bias often pollutes the output. I discuss the issue in some of my recent work, including:
- Artificial Intelligence and Privacy
- AI, Algorithms, and Awful Humans
- The Prediction Society: AI and the Problems of Forecasting the Future
There are many other terrific works that delve deeply into this issue. A few scholars whose works I have learned greatly from include Ifeoma Ajunwa, Jessica Eaglin, Sandra Mayson, Dan Burk, Safiya Noble, Solon Barocas, Andrew Selbst, Anupam Chander, Sonja Starr, Ngozi Okidegbe, Andrew Gunthrie Ferguson, Talia Gillis, Elizabeth Joh, Pauline Kim, Margot Kaminski, Kate Crawford, Aziz Huq, Oscar Gandy, and Mega Leta Jones. There are many others. So much excellent work is being written. I hope policymakers look at this scholarship because it is really good and also quite practical.
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Professor Daniel J. Solove is a law professor at George Washington University Law School. Through his company, TeachPrivacy, he has created the largest library of computer-based privacy and data security training, with more than 150 courses. He is also the co-organizer of the Privacy + Security Forum events for privacy professionals.
Artificial Intelligence Training Course
