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AI Advisory Body | United Nations

AI Advisory Body | United Nations
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Ministry Of Health , Al Qahirah , United States , Saudi Arabia , Eteläuomen Läi , United Arab Emirates , Soult Ukpyolsi , South Korea , New York , Rio De Janeiro , Estado Do Rio , South Africa , Cornell University , Cairo University , Al Jizah , United Kingdom , Trinidad And Tobago , City Of , Comunidad Autonoma De Cataluna , Ministry Of Finance , White House , District Of Columbia , New Zealand , King Saud University , Ar Riya , Buenos Aires ,

How Machine-Learning Models Can Amplify Inequities in Medical Diagnosis and Treatment

How Machine-Learning Models Can Amplify Inequities in Medical Diagnosis and Treatment
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United States , Sanmi Koyejo , Marzyeh Ghassemi , Zhaoran Zhang , Yuzhe Yang , Stanford University , Terms Of Service , Artificial Intelligence Laboratory , Department Of Electrical Science , Watson Ai Lab , International Conference On Machine Learning In Honolulu , Steve Nadis , Electrical Science , Computer Science , Dina Katabi , Nicole Pham Professor , International Conference , Machine Learning , Good Men Project , Premium Member , Premium Members , Social Interest , New Account ,

How machine learning models can amplify inequities in medical diagnosis and treatment

Exploring the implications of AI bias in health care, Marzyeh Ghassemi and her MIT team examine the disparities arising from machine learning models, often negatively affecting underrepresented groups. ....

United States , Sanmi Koyejo , Yuzhe Yang , Zhaoran Zhang , Marzyeh Ghassemi , Stanford University , Department Of Electrical Science , International Conference On Machine Learning In Honolulu , Artificial Intelligence Laboratory , Electrical Science , Computer Science , Dina Katabi , Nicole Pham Professor , International Conference , Machine Learning , Mit Csail , Mit Eecs , I Bias In Health Care , Class Imbalance , Marzyeh Ghassemi , Dina Katabi , Ubpopulation Shift , Orst Group Accuracy , Muzhe Yang , Zhaoran Zhang , Spurious Correlations ,

How machine learning models can amplify inequities in medical diagnosis and treatment

How machine learning models can amplify inequities in medical diagnosis and treatment
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United States , Zhaoran Zhang , Sanmi Koyejo , Marzyeh Ghassemi , Yuzhe Yang , International Conference On Machine Learning In Honolulu , Artificial Intelligence Laboratory , Stanford University , Department Of Electrical Science , Electrical Science , Computer Science , Dina Katabi , Nicole Pham Professor , International Conference , Machine Learning , Closer Look ,

AXISCADES announces appointment of S Christopher as Non-Executive Non-Independent Director

AXISCADES announces appointment of S Christopher as Non-Executive Non-Independent Director
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United Kingdom , Tamil Nadu , West Bengal , United States , Arun Krishnamurthi , Indian Institute Of Technology Madras , Ministry Of Defense , University Of Madras , Defence Research , Department Of Defence , College Of Engineering , Radar Development Establishment , Centre For Airborne Systems , Development Organization , Department Of Electrical Science , Heavy Engineering , Non Executive Independent Director , Airborne Systems , Group Director , Electrical Science , Indian Institute , Technology Madras , Airborne Early Warning , Indian Air , Indian Defense , Managing Director ,