TDAI hosts monthly informal gatherings to discuss publications addressing 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.
All OSU faculty, staff and students are welcome.
Our next selection will be Joan Donnovan's Meme Wars: The Untold Story the Online Battles Upending Democracy in America (New York: Bloomsbury, 2022). Please check back for a PDF link.
Next Meeting: Thursday, Feb. 23, 4-5 p.m., Derby 1186
You can also join by Zoom. Click here to register.
Please email Nancy Ettlinger at firstname.lastname@example.org for a copy of this month's text.
(In descending order of most recent reads)
Louise Amoore, Cloud Ethics: Algorithms and the Attributes of Ourselves and Others (Duke University Press, 2020). https://library.ohio-state.edu/search/t?SEARCH=cloud+ethics&searchscope=7
Dan McQuillan, Resisting AI: An Anti-facist Approach to Artificial Intelligence (Bristol University Press, 2022). Click here for a PDF of the book
Wendy Chun, Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (MIT Press, 2021).
Sarah Brayne, "The Criminal Law and law enforcement implications of big data." Annual Review of Law and Social Science, Vol. 14:293-308, October 2018. https://doi.org/10.1146/annurev-lawsocsci-101317-030839
Brian Jefferson, "Digitize and punish: computerized crime mapping and racialized carceral power in Chicago." Environment and Planning D: Society and Space, Vol. 35, Issue 5: 775–796, March 2017. https://doi.org/10.1177/0263775817697703
Brian Christian, The Alignment Problem: Machine Learning and Human Values (W.W. Norton & Co., 2020).
Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men (Abrams Press, 2019).
Catherine D'Ignazio and Laura F. Klein< Data Feminism (MIT Press, 2020).
Michael Kearns and Aaron Roth, The Ethical Algorithm: The Science of Socially Aware Algorithm Design (Oxford University Press, 2020).
Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press, 2018).
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)