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Petrie-Flom Center and Glenn Cohen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Petrie-Flom Center and Glenn Cohen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Is That AI Racist?

16:47
 
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Manage episode 407507130 series 3562141
Petrie-Flom Center and Glenn Cohen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Petrie-Flom Center and Glenn Cohen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

How AI Bias Is Affecting Health Care—And What We Can Do About It

People are biased, and people build AI, so AI are biased, too. When AI is used in hospitals to treat patients, that bias comes to health care.

For example, a 2019 paper in Science found that a commercial risk-prediction tool was less likely to refer equally sick Black people than white people to receive extra care resources. In fact, only 17.7% of patients that the algorithm assigned to get extra care were Black, but, if the algorithm were unbiased, the percentage would be much higher—46.5%.

This episode will look at how the racial disparities baked into the health care system also make their way into the AI that the health care system uses, creating a vicious cycle. Nic Terry (an expert in the intersection of health, law, and technology) and Ravi Parikh (a practicing oncologist and bioethicist) will discuss legal and ethical concerns. Michael Abramoff (an ophthalmologist, AI pioneer, and entrepreneur) will share how he’s trying to build a fairer AI

Created with support from the Gordon and Betty Moore Foundation and the Cammann Fund at Harvard University.

  continue reading

8 에피소드

Artwork
icon공유
 
Manage episode 407507130 series 3562141
Petrie-Flom Center and Glenn Cohen에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Petrie-Flom Center and Glenn Cohen 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

How AI Bias Is Affecting Health Care—And What We Can Do About It

People are biased, and people build AI, so AI are biased, too. When AI is used in hospitals to treat patients, that bias comes to health care.

For example, a 2019 paper in Science found that a commercial risk-prediction tool was less likely to refer equally sick Black people than white people to receive extra care resources. In fact, only 17.7% of patients that the algorithm assigned to get extra care were Black, but, if the algorithm were unbiased, the percentage would be much higher—46.5%.

This episode will look at how the racial disparities baked into the health care system also make their way into the AI that the health care system uses, creating a vicious cycle. Nic Terry (an expert in the intersection of health, law, and technology) and Ravi Parikh (a practicing oncologist and bioethicist) will discuss legal and ethical concerns. Michael Abramoff (an ophthalmologist, AI pioneer, and entrepreneur) will share how he’s trying to build a fairer AI

Created with support from the Gordon and Betty Moore Foundation and the Cammann Fund at Harvard University.

  continue reading

8 에피소드

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