#IEEEAIBias

AI is beginning to show racist and sexist associations, and it learned it by watching us. In a world where tech leadership is skewed 80% men and 83% percent white, and we are becoming increasingly more reliant on AI, how can we increase representation in our tech tools? Algorithms use data & benchmarks based on a past that we are trying to move away from. We either recognize the bias that is built into our daily culture, or we relive our past mistakes. Part of the IEEE Tech for Humanity Series.

[Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.]

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

photo of Lynn Conway

Lynn Conway

University of Michigan

photo of Amy Nordrum

Amy Nordrum

IEEE Spectrum

photo of Nita Patel

Nita Patel

IEEE Computer Society

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About
Format: Panel
Type: Session
Level: Beginner