Bias in AI Book (& Movie) Group

TDAI hosts monthly gatherings for faculty, staff and students to discuss books and films addressing racial and gender bias in algorithms and the automated decision-making technologies that use them. Led by Dr. Zahra Atiq, the free-ranging conversations also explore societal ramifications and implications for researchers, educators and students.

Next Meeting: March 16, 4-5 p.m. ET – Data Feminism, by Catherine D’Ignazio and Laura F. Klein (MIT Press, 2020); specific sections to be discussed TBA

Want to join? Email us to request Zoom link.

 

Previous Selections

 

Other Reads and Resources

Webinar: “Understanding Racial Bias in Algorithms”– hosted by OSU Program on Data and Governance, 9/25/20

Articles

Reading Lists

Data

Do you have a reading or link to data to include here? Click here to let us know.

TDAI was founded upon the principle of inclusion in research, education, programming, and more. We are committed to supporting anti-racism efforts with evidence and tools for data-informed policies and decision making. And we advance continuous, deliberate efforts to identify, counter and mitigate, and prevent racial bias in data science and analytics.

Responsible Data Science Community of Practice

Research Pilot Awards