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

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