Bias in AI Reading Group

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A wall of books arranged by color to create a rainbow stripe pattern on the shelves

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.

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Next Reading

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):

 

Click here to suggest a title for future reading.

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Next Meeting

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.

 

Click here to join the Bias in AI reading group listserv.

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Previous Selections

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A still image from the documentary Coded Bias

Coded Bias, directed by Shalini Kantayya (2020)

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The cover of the book Data Feminism

Data Feminism, by Catherine D'Ignazio and Laura F. Klein (MIT Press, 2020) 

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The cover of the book Algorithms of Oppression

Algorithms of Oppression: How Search Engines Reinforce Racism, by Dr. Safiya Umoja Noble (NYU Press, 2018)

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The cover of the book The Ethical Algorithm

The Ethical Algorithm: The Science of Socially Aware Algorithm Design, by Michael Kearns and Aaron Roth (Oxford University Press, 2020)

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The cover of Invisible Women by Caroline Criado Perez

Invisible Women: Data Bias in a World Designed for Men, by Caroline Criado Perez (Abrams Press, 2019)

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The cover of the book "The Alignment Problem" by Brian Christian

The Alignment Problem: Machine Learning and Human Values, by Brian Christian (W.W. Norton & Co., 2020)