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#066 Bias in Medical AI — Prof Ziad Obermeyer (Berkeley School of Public Health)

47:22
 
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Manage episode 303816397 series 2663557
Inhoud geleverd door Mustafa Sultan, MD, Mustafa Sultan, and MD. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Mustafa Sultan, MD, Mustafa Sultan, and MD of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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We talk about his fascinating story, how he created an AI algorithm which actually reduced bias and superseded human performance and some of the things he’s learnt along the way.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.

You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io

  continue reading

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Artwork
iconDelen
 
Manage episode 303816397 series 2663557
Inhoud geleverd door Mustafa Sultan, MD, Mustafa Sultan, and MD. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Mustafa Sultan, MD, Mustafa Sultan, and MD of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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.

You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io

  continue reading

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