Practices/Exemplar policies
guidance
Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
World Health Organization. 18 January 2024.
Summary
WHO published guidance on large multi-modal models used in health: systems that take one or more kinds of input (text, images, or video) and generate varied outputs. The document is written for governments, technology companies, and health-care providers. It sits on earlier WHO ethics guidance for AI in health (2021) and offers a long set of recommendations rather than a product specification. WHO is cited here as a source and as an example of health-specific public guidance. That citation does not mean WHO endorses, partners with, or is affiliated with AI Concerns.
The principles it rests on
In our words.
- Health as the frame: the question is care, not a model card.
- LMMs as a distinct class: generative systems that take mixed inputs need their own guidance.
- Several audiences: governments, companies, and providers are each addressed.
- Ethics and governance together: the title holds both, not one without the other.
Scope
Large multi-modal models developed, provided, or deployed for health. Recommendations are directed at governments, technology companies, and health-care providers.
Why it is exemplary
It is written from a health mandate for a named class of system. It addresses more than one kind of reader. It is public guidance, not a vendor white paper.
Concerns in our register it speaks to
Frameworks it relates to
- WHO ethics and governance of AI for health (2021), as named by the authors
How a reader might use it
A school
Use it to show that a general-purpose model still needs a sector-specific duty of care.
A health system
Use it as a starting map for how a health system might read LMMs before buying or building.
A public body
Use it as a model of public guidance aimed at government, industry, and providers in one document.
Source
World Health Organization, Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models, 18 January 2024.
Summarized with attribution. The original is the property of its publisher; read it at the link.