Why responsible AI needs regional networks in low-resource health systems
Responsible clinical AI requires regionally anchored networks tailored to local contexts. We propose a primary-care-first approach to prioritize local governance, ensuring decisions are context-driven; data sovereignty, to build trust and protect privacy; and community-driven infrastructure, ensuring sustainability. With capacity building, these networks support equitable AI by aligning with local needs, overcoming barriers to implementation, and enabling collaboration across regions to scale solutions effectively.
Authors
- Jeroen van den Hoven
- Emma-Jane Spencer
- Jerome Singh
- Michel E. van Genderen (ORCID: https://orcid.org/0000-0001-5668-3435)
- Diederik Gommers
- Jip Hazelhorst
- Keymanthri Moodley
Institutions
- Duke University (US)
- University of Toronto (CA)
- Stellenbosch University (ZA)
- Erasmus MC (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2026-09-21
- DOI
- https://doi.org/10.1038/s41746-026-03208-x
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00