Fairness and Bias in AI Algorithms and Interfaces
This workshop will explore various biases present in AI algorithms and interfaces used on online platforms such as digital archives, libraries, social media, search engines, and other AI-powered services. It will encourage critical thinking about the credibility of information, the transparency of curation processes, the accuracy of representations, and the complexities surrounding information authority, formats, and editorial supervision. Participants will also be taught effective strategies for recognizing and evaluating these biases inherent in each media.
Registration fee for members & non-members: $25
Sign up to attend when you register for the 2024 ALISE Annual Conference.
Speakers 
UCLA Department of Information Studies
Seul Lee is a doctoral candidate in Information Studies at University of California, Los Angeles, holding a B.A. in Management Information Systems, an M.A. in Data Science, and a graduate certificate in Digital Humanities. Her research interests involve investigating the intricate...
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