---
id: "entity-world-health-organization"
type: "entity"
entityType: "organization"
canonicalName: "World Health Organization"
aliases: ["WHO"]
source_url: "https://hbr.org/2024/12/how-to-create-value-systematically-with-gen-ai"
source_title: "How to Create Value Systematically with Gen AI"
source_timestamps: ["§ Transformation & Growth"]
tags: ["healthcare", "ai-ethics", "governance"]
related: ["question-ethical-protocols-mission-critical", "entity-cleveland-clinic"]
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-nm-98-create-value-systematically-genai"
sourceUrl: "https://hbr.org/2024/12/how-to-create-value-systematically-with-gen-ai"
sourceTitle: "How to Create Value Systematically with Gen AI"
---
# World Health Organization (WHO)

**Profile.** The World Health Organization (WHO) is the UN specialized agency for global health, cited for its updated guidance emphasizing that **robust ethical and safety protocols** are essential when using AI for mission-critical tasks in healthcare.

**Role in the source.** Governance authority justifying the safeguards the authors attach to Level 3 (Transformation & Growth) — used to argue that reimagining work with AI must be balanced by protocols (see [[action-create-experimentation-space]] and the open question [[question-ethical-protocols-mission-critical]]).

**Enrichment.** WHO's published guidance on the ethics and governance of AI for health stresses transparency, explainability, documentation, human oversight and accountability, data protection/risk management, and context-appropriate evaluation before clinical deployment. This is consistent with the article's summary that strong governance is a prerequisite for mission-critical health AI. Canonical reference: WHO institutional site.