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WHO AI Health Ethics

WHO Ethics and Governance of AI for Health

WHO guidance emphasizing mental health AI often has methodological/quality flaws requiring extra scrutiny. Six ethical principles for health AI.

Jurisdiction

International

Enacted

Pending

Effective

Jun 28, 2021

Enforcement

TBD

WHO

Why It Matters

WHO explicitly flags mental health AI for extra scrutiny. Six principles framework. Influential in healthcare regulation.

At a Glance

Applies to

Healthcare AI

Who Must Comply

  • Health AI developers and deployers (voluntary)

Safety Provisions

  • Principle 1: Protect autonomy
  • Principle 2: Promote human wellbeing and safety
  • Principle 3: Ensure transparency, explainability, intelligibility
  • Principle 4: Foster responsibility and accountability
  • Principle 5: Ensure inclusiveness and equity
  • Principle 6: Promote responsive and sustainable AI
  • Specific caution: Mental health AI often has methodological flaws
  • Extra scrutiny required for vulnerable users

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International

Focus Areas

Mental health & crisis

Cite This

APA

International. (2021). WHO Ethics and Governance of AI for Health.

Related Regulations

In Effect INTL

ISO 42001

First certifiable international standard for AI management systems. Uses Plan-Do-Check-Act methodology. Third-party certification available; major AI systems have achieved certification.

In Effect INTL

ISO 23894

AI risk management guidance complementing ISO 31000. Lifecycle risk management; audit/procurement language.

In Effect INT

OECD AI Due Diligence

Non-binding OECD guidance applying the OECD's six-step responsible business conduct (RBC) due-diligence process to enterprises across the AI value chain, providing practical recommendations for identifying, preventing, mitigating, and accounting for adverse human-rights and societal impacts of AI systems.

In Effect INT

UN/ITU AI & Child Rights Statement

Non-binding multilateral statement signed by thirteen UN and international organisations setting out principles for protecting children's rights in the design, deployment, and governance of AI systems, including provisions on harmful content, age assurance, transparency, and child-rights impact assessments.

Enacted US-MD

MD HB 895

First US state law to outright ban surveillance-based personalized pricing in food retail and third-party delivery, prohibiting use of protected class data and dynamic pricing tied to consumer personal data with limited exceptions for cost-based pricing, loyalty programs, and explicit consent.

In Effect US-RI

RI Healthcare AI Notification Act

Requires healthcare providers and facilities to notify patients when AI is used to document or transcribe in-person or telehealth visits, and to review AI-generated documentation for accuracy.

Last updated January 22, 2026. Verify against primary sources before relying on this information.