Empower Diversity in AI Development
Document Type
Article
Publication Date
2024
DOI
10.1145/3676885
Publication Title
Communications of the ACM
Volume
67
Issue
12
Pages
31-34
Abstract
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 teams have been shown to improve innovation, performance, and fairness by broadening perspectives and reducing blind spots in AI development. To achieve meaningful change, organizations must implement robust strategies, such as fostering diversity skills, mirroring stakeholder representation in teams, and developing sustainable talent pipelines, while avoiding superficial efforts like "diversity washing."
Rights
© 2024 The Authors. All rights reserved.
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Original Publication Citation
Werder, K., Cao, L., Ramesh, B., & Park, E. H. (2024). Empower diversity in AI development. Communications of the ACM, 67(12), 31-34. https://doi.org/10.1145/3676885
Repository Citation
Werder, Karl; Cao, Lan; Ramesh, Balasubramaniam; and Park, Eun Hee, "Empower Diversity in AI Development" (2024). Information Technology & Decision Sciences Faculty Publications. 105.
https://digitalcommons.odu.edu/itds_facpubs/105