Date & Time:
October 26, 2020 3:00 pm – 4:00 pm
Location:
Live Stream
10/26/2020 03:00 PM 10/26/2020 04:00 PM America/Chicago HCI Series: Karrie Karahalios (UIUC) – From Algorithm Awareness to Algorithm Contestability Live Stream

From Algorithm Awareness to Algorithm Contestability

Algorithms play a large role by shaping what we see and don’t see online. In this talk I discuss people’s awareness of algorithms in they daily online social life, the power people attribute to algorithms, and how and when people become disillusioned by them. I further discuss approaches to address control and whether people want control, and move to people’s perceptions of contestable systems.

Register here for Zoom information, or watch live on YouTube.

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This talk is part of the Department of Computer Science Fall seminar series on human-computer interaction. Future talks:

11/5: Tanzeem Choudhury, Cornell Tech

11/9: Amy Ogan, Carnegie Mellon University

11/30: Hiroshi Ishii, MIT Media Lab

More information on these speakers and their talks will be posted soon.

Host: Blase Ur

Karrie Karahalios

Professor of Computer Science, University of Illinois, Urbana-Champaign

Karrie Karahalios is a University Scholar, Professor of Computer Science, a Co-director of the Center for People and Infrastructures and the Center for Just Infrastructures at the University of Illinois at Urbana-Champaign, and a Senior Research Scientist at Adobe Research. She completed an S.B. in Electrical Engineering, an M.Eng. in Electrical Engineering and Computer Science, and an S.M. and Ph.D in Media Arts and Sciences at MIT. Her main area of research is Social Computing—more specifically, social network analysis, relationship modeling, social media interface design, social media feed algorithm awareness/literacy, social visualization, group dynamics, speech delay assistive technologies, and tools for speech-delay diagnoses. She has been awarded a Sloan Research Fellowship, a Harvard Berkman Center for Internet and Society Fellowship, a Kavli Fellowship, the A. Richard Newton Breakthrough Research Award, an NSF Early Career Award, and an NCSA Fellowship, among others.

Website

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