TDAI hosts monthly informal discussions of books, articles and films that address racial and gender bias in algorithms and automated decision-making technologies. Led by Dr. Nancy Ettlinger (geography) and held the last Thursday of the month, the free-ranging conversations explore societal ramifications and implications for researchers, educators and students.
TDAI is grateful to Dr. Zahra Atiq (computer science and engineering) for launching the Bias in AI Reading Group and creating a space for essential conversation, and we thank Dr. Ettlinger for taking the helm.
Following the recent killing of Donovan Lewis by Columbus police, readings on the police-computation relation may be of interest. Two complementary journal articles (click on the titles to access):
- Sarah Brayne, The Criminal Law and law enforcement implications of big data
- Brian Jefferson, Digitize and punish: computerized crime mapping and racialized carceral power in Chicago
Thursday, Sept. 29, 4:00-5:00 p.m.
Derby Hall, Room 1116
If you can only attend by zoom, please email Dr. Ettlinger by Monday, Sept. 26.
All OSU faculty, staff and students are welcome.
Algorithms of Oppression: How Search Engines Reinforce Racism, by Dr. Safiya Umoja Noble (NYU Press, 2018)
Invisible Women: Data Bias in a World Designed for Men, by Caroline Criado Perez (Abrams Press, 2019)
The Alignment Problem: Machine Learning and Human Values, by Brian Christian (W.W. Norton & Co., 2020)
Other Reads and Resources
- “Science-fiction master Ted Chiang explores the rights and wrongs of AI” (Science, 11/8/20)
- “Can We Make Our Robots Less Biased Than We Are?” (New York Times, 11/22/20)
- “Artificial Intelligence, Health Disparities, and COVID-19” (Undark, 7/27/20)