Evaluation of Generative Artificial Intelligence Safeguards Against the Creation of Images and Videos Harmful to Public Health
Generative AI applications varied significantly in safeguards, with several systems often generating images that could be harmful to public health. The findings underscore the urgent need for greater transparency, safety, and oversight of generative AI to mitigate public health harms.
Authors
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Kacper Gradoń (ORCID: https://orcid.org/0000-0003-0750-8678)
- Bianca Chu
- Natansh D. Modi (ORCID: https://orcid.org/0000-0003-3262-5374)
- Ross A. McKinnon (ORCID: https://orcid.org/0000-0002-3725-793X)
- Bradley D. Menz (ORCID: https://orcid.org/0000-0002-0855-5081)
- Erik Cornelisse
- Andrew Rowland
- N Bulamu
- Ashley M Hopkins
- Shahid Ullah
Institutions
- Warsaw University of Technology (PL)
- Flinders University (AU)
- University of South Australia (AU)
- Lyell McEwin Hospital (AU)
- University College London (GB)
- The University of Adelaide (AU)
Publication Details
- Journal
- Public Health Reports
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1177/00333549261418596
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00