Recapitulation of Ageism in Artificial Intelligence–Generated Images: Longitudinal Comparative Study
Despite a social emphasis on positive views on aging, AI text-to-image generators persistently generated images with characteristics of digital ageism. Images predominantly featured White-racialized individuals at both time points, with no improvement in emotional representation despite using neutral text prompts. These findings highlight the persistence of ageist visual characteristics in AI-generated images over time. A limitation of this study is that it focused only on AI image generation and did not analyze other AI-generated content that may express digital ageism.
Authors
- Gunjan D. Manocha (ORCID: https://orcid.org/0000-0003-4488-6627)
- Marilyn G. Klug (ORCID: https://orcid.org/0000-0001-8476-7097)
- Nicole Derenne
- L Martens
- Richard Van Eck (ORCID: https://orcid.org/0000-0002-9826-9774)
- Donald A. Jurivich (ORCID: https://orcid.org/0000-0002-8601-2955)
- Nicole Virgin
- Phillip Hoffarth
- Jade Goodwill
Institutions
- University of North Dakota (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-11
- DOI
- https://doi.org/10.2196/68428
- Citations
- 2
- Primary Topic
- Aging and Gerontology Research
- Type
- article
- Field-Weighted Citation Impact
- 7.20