An exploratory semantic analysis of age-related stereotypes in OpenAI’s GPT 4o model
Findings suggest that GPT-4o may embed subtle age-related stereotypes, even when using largely positive language. These patterns potentially influence user perceptions through repeated exposure. Future research should investigate the mechanisms behind these biases and explore mitigation strategies to promote more age-inclusive artificial intelligence-generated content.
Authors
- Moon Ki Choi (ORCID: https://orcid.org/0000-0001-8002-0113)
- Wan Soo Hong (ORCID: https://orcid.org/0009-0005-3625-4621)
Institutions
- Science and Technology Policy Institute (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Graduate School USA (US)
Publication Details
- Journal
- The Gerontologist
- Published
- 2025-12-07
- DOI
- https://doi.org/10.1093/geront/gnaf291
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea