Human-Centered Design to Address Biases in Artificial Intelligence

The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stage of the AI life cycle, including data collection,...

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Detalles Bibliográficos
Autores principales: Chen, You, Clayton, Ellen Wright, Novak, Laurie Lovett, Anders, Shilo, Malin, Bradley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132017/
https://www.ncbi.nlm.nih.gov/pubmed/36961506
http://dx.doi.org/10.2196/43251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132017/
https://www.ncbi.nlm.nih.gov/pubmed/36961506
http://dx.doi.org/10.2196/43251

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