Bridging the Gaps: A Contextual Mapping of Ethical Principles for AI in LMICs Across the Digital Health Value Chain (A Scoping Review)
Abstract
The rapid integration of Artificial Intelligence (AI) in healthcare offers transformative potential for Low- and Middle-Income Countries (LMICs). However, significant concerns remain regarding the ethical implications and structural inequities across the AI life cycle—from data procurement and algorithmic design to implementation and monitoring. While various ethical guidelines exist, their applicability and practical implementation within the context of Global Health and resource-limited settings are not well-defined. This scoping review aims to map the existing literature and regulatory frameworks to identify gaps in ethical governance and promote health equity within the AI value chain for LMICs.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
Ethics and bioethics in healthcare
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 1 January 2026
- Document type
- Preprint