Mind the (widening) gap: why public health must engage with AI now
Without deliberate engagement, AI risks reinforcing existing inequities. Practical steps for action include embedding AI training in public health education, building multidisciplinary teams, investing in data infrastructure, and ensuring participatory approaches. AI will continue to shape public health systems, whether or not public health professionals engage. We argue that the public health community is both uniquely positioned and ethically obligated to engage proactively with AI.
Authors
- Martin McKee (ORCID: https://orcid.org/0000-0002-0121-9683)
- Rebecca Payne (ORCID: https://orcid.org/0000-0002-9037-7367)
- Paula Del Rey Puech
- Jasjot Saund
Institutions
- Betsi Cadwaladr University Health Board (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Centre for Sustainable Healthcare (GB)
Publication Details
- Journal
- Public Health
- Published
- 2025-11-15
- DOI
- https://doi.org/10.1016/j.puhe.2025.106047
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65