Back to the database
Record STMT-W6439DESoft law

Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models

Guidelines International lawGlobaladopted

This document provides global guidance on the ethics and governance of large multi-modal models (LMMs) in the health sector. It outlines key ethical principles, potential risks and challenges, and recommendations for various stakeholders across the health ecosystem. The guidance aims to assist governments, developers, and health institutions in maximizing the benefits of LMMs while mitigating risks to public health and human rights.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

World Health OrganizationIntergovernmental
Lead issuer
Legal forceSoft law
Under whose authorityInternational law
Judged fromfull text

Who it governs

National governmentGeneral publicRegulatorsAI developers and providersAI deployers and usersResearchers and academics

Policymakers, health professionals, AI developers, and researchers seeking guidance on governing health-related artificial intelligence.

Sectors
Healthcare · healthResearch and science · research

What the document contains

What's covered

The document addresses the ethical considerations, risks, governance frameworks, and strategic recommendations for the use of large multi-modal models in healthcare settings.

What's missing

Binding international legal enforcement mechanisms and technical source code specifications.

Key takeaways
  • Large multi-modal models present unique opportunities and risks in the health sector.
  • Ethical frameworks must guide the development, deployment, and oversight of AI in medicine.
  • Transparency, accountability, and inclusivity are critical for safe health AI governance.
  • Governments and developers share responsibility for protecting patient safety and human rights.
Principles it states
Protecting autonomyPromoting human well-being and safetyEnsuring transparencyFostering responsibility and accountabilityEnsuring inclusiveness and equityPromoting responsive and sustainable AI
Outline
Not stated
Issued2023
Length457 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-24

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-24

Transparency

0/5

Openness about how AI systems work and are used

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-24

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

screening score · 2026-10-24

Topics

artificial_intelligence health ethics governance large_multi_modal_models