The Role of Data and Artificial Intelligence in Driving Diversity, Equity, and Inclusion
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Data and artificial intelligence hold promise for promoting diversity, equity, and inclusion. However, limited data availability, the biased nature of available data, and a lack of resources need to be overcome.
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Diversifying the teams involved in AI development and evaluation is crucial, as it brings a multiplicity of perspectives that can better identify and correct for biases.
“Diversifying the teams involved in AI development and evaluation is equally crucial, as it brings a multiplicity of perspectives that can better identify and correct for biases [55][56][57].”
From Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023) · cites this paper as [55]
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Cites
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- Authors
- Chauhan, P. S., & Kshetri, N.
- Affiliations
- University of North Carolina at Greensboro (US)
- Venue
- Computer
- Published
- 2022-04
- Volume
- 55
- Issue
- 4
- Pages
- 88-93
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- OpenAlex
- W4223519342
- Cited by
- 18
- References
- 4
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 1
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computer (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Safety Research › Career Development and Diversity
- Keywords
- diversity, equity, and inclusion, artificial intelligence, data availability, data bias, underrepresented groups, algorithmic fairness
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