TDAI hosts monthly informal gatherings to discuss publications addressing racial and gender bias in algorithms and automated decision-making technologies. For 2024-25, the group is led by Dr. Harmony Bench (Dance), and held on Tuesdays (see below for dates). Our free-ranging conversations explore societal ramifications and implications for researchers, educators and students.
All OSU faculty, staff and students are welcome.
Join us!
When:
Spring 2025 - 2:30-3:30 p.m. (ET) on:
Jan. 14
Feb. 11
Apr. 15
Where: 279 Pomerene Hall or by Zoom
Email Dr. Harmony Bench at bench.9@osu.edu for the Zoom link or for a copy of this month's text.
Next selection:
Reading for Tuesday, Jan. 14: TBD - Check back!
Suggest future titles to read and discuss (opens a shared Excel list)
Previous Selections
The Lifecycle of Software Objects (2010) by Ted Chiang
Algorithms of Resistance by Tiziano Bonini and Emiliano Treré.
Focus on: Intro, ch1, ch2, ch6
https://direct.mit.edu/books/oa-monograph/5721/Algorithms-of-ResistanceThe-Everyday-Fight-against
Artificial Intelligence and the Practice of History: A Forum
American Historical Review Volume 128, Issue 3, September 2023
https://academic-oup-com.proxy.lib.ohio-state.edu/ahr/issue/128/3
AI in the Wild: Sustainability in the Age of Artificial Intelligence by Peter Dauvergne
https://direct.mit.edu/books/book/4942/AI-in-the-WildSustainability-in-the-Age-of
With participants reading chapters according to their interest.
Davide Gunkel, Perspective on Ethics of AI: Philosophy
https://academic-oup-com.proxy.lib.ohio-state.edu/edited-volume/34287/chapter/290670538
Carolyn Ashurst, et al, AI Ethics Statements: Analysis and Lessons Learnt from NeurIPS Broader Impact Statements
https://www.researchgate.net/publication/355872637_AI_Ethics_Statements_--_Analysis_and_lessons_learnt_from_NeurIPS_Broader_Impact_Statements
Marika Cifor and Patricia Garcia, et al, Feminist Data Manifest-NO
https://www.manifestno.com/
The Black Technical Object: On Machine Learning and the Aspiration of Black Being by Ramon Amaro (Sternberg Press, 2022)
Uncomputable: Play and Politics in the Long Digital Age by Alexander Galloway (Verso, 2021).
"Meme Wars: The Untold Story of the Online Battles Upending Democracy in America," by Joan Donovan (New York: Bloomsbury, 2022).
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).
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
Articles
- “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)