Hidden Figures: Exposing Bias in AI

Artificial intelligence is increasingly influencing our society and our behavior. One of the challenges with the machine learning algorithms (used in AI applications) is the over-representation of biased data - especially around gender, racial profiles, and ethnic backgrounds. This panel discussion will focus on the algorithmic bias - it’s impact, detection, and mitigation strategies. It offers government, technology, and industry leaders a set of recommendations, best practices, as well as consumer-focused techniques -all of which will promote the fair and ethical deployment of AI.

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

photo of Ashley Bryant-Baker
photo of Natalie Evans Harris
photo of Bianca Jackson
Bianca Jackson

JAX Digital

photo of Swathi Young
Swathi Young

Integrity Management Services Inc

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