Artificial intelligence and algorithmic bias: implications for health systems
Artificial intelligence and algorithmic bias: implications for health systems
T. Panch,H. Mattie,R. Atun
2019 · DOI: 10.7189/jogh.09.020318
Journal of Global Health · 364 Citações
TLDR
In the context of AI and health systems, inequities are defined as: “the instances when the application of an algorithm compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability or sexual orientation to amplify them and adversely impact inequity in health systems.
Resumo
in the context of AI and health systems as: “the instances when the application of an algorithm compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability or sexual orientation to amplify them and adversely impact inequities in health systems.”