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Is That AI Racist?

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Manage episode 407507130 series 3562141
Contenu fourni par Petrie-Flom Center and Glenn Cohen. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Petrie-Flom Center and Glenn Cohen ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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 episodes

Artwork
iconPartager
 
Manage episode 407507130 series 3562141
Contenu fourni par Petrie-Flom Center and Glenn Cohen. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Petrie-Flom Center and Glenn Cohen ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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 episodes

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