Ethical AI Capacity Building
Cross-source consensus on Ethical AI Capacity Building from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Evidence quality
Highlighted claims
- The review maps and synthesises training initiatives that support ethical use and governance of AI in health across Africa. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- Training initiatives may include curricula, courses, workshops, fellowships, mentorships, in-service training, regulatory sandbox training, certificates, CPD modules, and manuals with learning objectives. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- Ethical AI capacity building is needed because principles and policy frameworks alone do not create institutional competence. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa
- African health AI governance training initiatives are emerging but remain fragmented and unevenly documented. — Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa