How can we design AI systems which remove human bias — rather than perpetuate it?
Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor of Health Policy and Management at the Berkeley School of Public Health where he researchers and teaches on the intersection of machine learning and healthcare. Some of his most interesting research focuses on algorithmic bias, and how we can better build AI systems which avoid perpetuating and falling into these traps.
We talk about his fascinating story, how he created an AI algorithm which actually reduced bias and superseded human performance and some of the things he’s learnt along the way.
I hope you enjoy.
Prof Obermeyer's new initiative: Nightingale Open Source.
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