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AI Attitudes Among Marginalized Populations in the U.S.: Nonbinary, Transgender, and Disabled Individuals Report More Negative AI Attitudes
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Haimson et al. (2025) found in a nationally representative US survey that non-binary and transgender participants reported significantly more negative attitudes toward AI than cisgender participants.
“Haimson et al. (2025) found in a nationally representative US survey that non-binary and transgender participants reported significantly more negative attitudes toward AI than cisgender participants.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Haimson et al. (2025)
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Cited by
Sorted by citations
Cripping AI: Reimagining AI Through Lived Disability Experiences
Tang, X., Lin, T.-A., Li, J., & Wu, S. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3805689.3806744 · Cited by 2
Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review
Shekarchi, R., Eleuteri, S., Saladino, V., Calaresi, D., Giordano, F., & Prunas, A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.2002054
Metadata
- Authors
- Haimson, O. L., Mayworm, S. R., Ingber, A. S., & Andalibi, N.
- Venue
- Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
- Publisher
- ACM
- Published
- 2025-06-23
- Pages
- 1224-1237
- Cited by
- 25
- References
- 15
- Funders
- National Science Foundation (2236674)
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