The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective

The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective

Artificial intelligence models represented in machine learning algorithms are promising tools for risk assessment used to guide clinical and other health care decisions. Machine learning algorithms, however, may house biases that propagate stereotypes, inequities, and discrimination that contribute...

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Detalles Bibliográficos
Autores principales: Gillian Franklin, Rachel Stephens, Muhammad Piracha, Shmuel Tiosano, Frank Lehouillier, Ross Koppel, Peter L. Elkin
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2024-05-01
Colección:Life
Materias:
bias
sociodemographic
machine learning
algorithms
artificial intelligence
models
Acceso en línea:https://www.mdpi.com/2075-1729/14/6/652

Internet

https://www.mdpi.com/2075-1729/14/6/652

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