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.

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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
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article

Recapitulation of Ageism in Artificial Intelligence–Generated Images: Longitudinal Comparative Study

Gunjan D. Manocha, Marilyn G. Klug, Nicole Derenne, L Martens et al.
2 citations
Journal of Medical Internet Research
Aging and Gerontology Research
7.20
article

Recapitulation of Ageism in Artificial Intelligence–Generated Images: Longitudinal Comparative Study

Gunjan D. Manocha, Marilyn G. Klug, Nicole Derenne, L Martens, Richard Van Eck, Donald A. Jurivich, Nicole Virgin, Phillip Hoffarth, Jade Goodwill
article en
2 citations

Abstract

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.

Journal of Medical Internet ResearchVol. 27
University of North Dakota (US)
Openalex Percentile: Top 3%
Aging and Gerontology Research
7.20
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