التفاصيل البيبلوغرافية
| العنوان: |
Empower Diversity in AI Development. |
| المؤلفون: |
Werder, Karl1 (AUTHOR) karw@itu.dk, Cao, Lan2 (AUTHOR) lcao@odu.edu, Ramesh, Balasubramaniam3 (AUTHOR) bramesh@gsu.edu, Park, Eun Hee2 (AUTHOR) epark@odu.edu |
| المصدر: |
Communications of the ACM. Dec2024, Vol. 67 Issue 12, p31-34. 4p. |
| مصطلحات موضوعية: |
*ARTIFICIAL intelligence, *DIVERSITY in the workplace, *DIVERSITY & inclusion policies, *COMPUTER software development, IMPLICIT bias, MACHINE learning, ARTIFICIAL intelligence software |
| مستخلص: |
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." |
| قاعدة البيانات: |
Business Source Index |