AI4People Ethical Framework
The AI4People Ethical Framework provides guidance on how to ensure that artificial intelligence in health, especially in low and middle-income countries, is developed and used in ways that are ethical, fair, and respectful of human rights.
At a glance
Use when
Developing or deploying AI in global health, especially in low and middle-income countries; designing ethical review processes for AI interventions; shaping policy for responsible AI use in health
Avoid when
A technical tool or method for AI model development or validation is needed; rapid deployment without ethical oversight is prioritized
Inputs
Ethical challenges in AI deployment, stakeholder values, human rights principles
Outputs
Ethical guidelines, policy recommendations, governance frameworks
How it works
The AI4People Ethical Framework outlines core ethical principles for the responsible development and deployment of AI in global health contexts. It emphasizes human oversight, transparency, fairness, and accountability. While not a technical tool, it supports ethical governance of AI-driven interventions in diagnosis, risk assessment, outbreak prediction, and health policy. It addresses gaps in current practices regarding equity, informed consent, data privacy, and community engagement, particularly in resource-limited settings.
- HTA domains
- Organisational aspects, Patient and Social Aspects, Aspects Beyond HTA
- Assumptions
- AI systems can be designed to respect human dignity and promote equity; stakeholders are willing to adopt ethical guidelines; ethical frameworks can influence real-world AI practices
- Strengths
- Comprehensive ethical foundation, stakeholder-inclusive approach, applicable across diverse global health contexts, promotes equity and human rights
- Limitations
- Not a technical implementation tool; requires adaptation to local contexts; dependent on political and institutional will for enforcement
- Also known as
- AI4People Ethical Framework for AI in Global Health
Questions this answers
- › How can AI in global health be developed and used ethically?
- › What principles ensure fairness and equity in AI-driven health interventions?
- › How can stakeholders ensure accountability and transparency in AI applications?
- › What safeguards are needed to protect vulnerable populations in LMICs?
- › How can AI align with human rights and societal values in health?
- › What ethical considerations are missing in current AI-driven health research?
References & sources
Related methods
Similar by meaning
Beta record. Based on the original catalogue summary; primary-source enrichment pending.