Empower Diversity in AI Development.

The lack of diversity in the artificial intelligence (AI) field exacerbates social biases in AI systems, which often reflect the perspectives of their creators. Addressing these biases requires more than technical solutions; it necessitates a social approach to tackle their root causes. Diverse team...

Descripción completa

Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 67; no. 12; pp. 31 - 35
Autores principales:	Werder, Karl, Cao, Lan, Ramesh, Balasubramaniam, Park, Eun Hee
Formato:	Opinion
Publicado:	Association for Computing Machinery Dec2024
Materias:	Artificial intelligence Implicit bias Machine learning Diversity in the workplace Diversity & inclusion policies Artificial intelligence software Computer software development
Acceso en línea:	Ver este registro en EBSCOhost