Episode Topic: Bias and Power

While algorithms and artificial intelligence are often touted as neutral and unbiased decision-making tools, research such as Dr. Joy Buolamwini and Dr. Timnit Gebru’s Gender Shades project illustrates that these technologies rarely perform equally well across all populations and demographics. The impacts of these performance differences can have far-reaching consequences in the workplace, in court, and even in the online dating pool. 

Featured Speakers: 

• Apryl A. Williams, Assistant Professor, Department of Communication & Media and the Digital Studies Institute, University of Michigan; Faculty Fellow, Notre Dame Institute for Advanced Study
• Ifeoma Ajunwa, Law Professor, University of North Carolina School of Law; Adjunct Associate Professor, Kenan-Flagler School of Business; Founding Director, Artificial Intelligence Decision-Making Research (AI-DR) Program, University of North Carolina School of Law

Read this episode's recap over on the University of Notre Dame's open online learning community platform, ThinkND: go.nd.edu/5d6500.

This podcast is a part of the TEC Talks ThinkND Series titled “Technology & Power”.

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