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Connecticut could become Artificial Intelligence hub

Connecticut could become Artificial Intelligence hub
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United statesWest hartfordNed lamontKathryn marchesiniMarzyeh ghassemiRichard blumenthalReid blackmanF perry wilsonNed gerard hearstMark gersteinJ scott lowryManisha juthaniKen dixonSaud anwarD south windsorBioinformatics program

AI in medicine needs to be carefully deployed to counter bias – and not entrench it

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

Ganga moorthyKathryn marchesiniMark sendakDuke mark sendakCarmel shacharEmily sterrettMelanie fontes rainerDrug administrationHuman servicesHealth law policy at harvard schoolDuke institute for health innovationOffice for civil rightsUs department of healthDuke university hospitalPetrie flom centerDuke institute

AI in medicine need to counter bias, and not entrench it more : Shots

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

United statesMelanie fontes rainerEmily sterrettDuke mark sendakGeorge floydCarmel shacharGanga moorthyKathryn marchesiniMark sendakUs department of healthOffice for civil rightsHealth law policy at harvard schoolHuman servicesDuke university hospitalPetrie flom centerDuke institute for health innovation

AI in medicine needs to be carefully deployed to counter bias – and not entrench it

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

Carmel shacharEmily sterrettDuke mark sendakGanga moorthyKathryn marchesiniMark sendakMelanie fontes rainerDuke university hospitalOffice for civil rightsDuke institute for health innovationHealth law policy at harvard schoolPetrie flom centerUs department of healthDrug administrationHuman servicesDuke institute

AI in medicine needs to be carefully deployed to counter bias, not entrench it

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

Emily sterrettMelanie fontes rainerCarmel shacharMark sendakDuke mark sendakGanga moorthyKathryn marchesiniOffice for civil rightsDuke institute for health innovationPetrie flom centerUs department of healthDuke university hospitalHuman servicesHealth law policy at harvard schoolDrug administrationDuke institute