Toward Community-Led Evaluations of Text-to-Image AI Representations of Disability, Health, and Accessibility
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Visual media plays a significant role in shaping public opinion and social norms, including societal perceptions of disability.
“Visual media plays a significant role in shaping public opinion and social norms, including societal perceptions of disability [10, 34, 105, 117].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [10]
Recent works argue against treatments of representation as a static concept that can be evaluated objectively.
“This echoes recent works [10, 68, 89, 90] that argue against treatments of representation as a static concept that can be evaluated objectively.”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [10]
The citation lists haven’t been fetched yet
References 55 · Cited by 3
- Authors
- Bennett, C. L., Kane, S. K., & Harrington, C. N.
- Affiliations
- Google (United States) (US)
- Venue
- Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
- Publisher
- ACM
- Published
- 2025-11-04
- Pages
- 256-270
- OpenAlex
- W4415654010
- Cited by
- 3
- References
- 55
- Citations by year
- 2026: 3
- FWCI
- 3.09
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) (publishedVersion, cc-by-nc)
- Topics
- Social Sciences › Safety Research › Disability Rights and Representation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- text-to-image AI, disability representation, health representations, accessibility, AI-generated images, media representation of disability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
