WHO dossier/Risks & Challenges
Part 06 · Risks & challenges

AI can scale weak evidence as quickly as strong evidence.

WHO highlights risks across opacity, accountability, bias, discrimination, equity, privacy, cybersecurity, resource intensity, regulatory gaps, and erosion of human expertise.

Risk map

What needs a control.

policy risk
Opacity

Outputs become hard to challenge

Policy users may not see how sources were selected, weighted, summarized, or transformed.

Equity

Missing voices become missing evidence

Bias can enter through data, model design, evidence availability, language, geography, and power.

Reliance

Human expertise can be displaced

Automation pressure can reduce contestability, judgement, and accountable deliberation.

Reflection

Risk questions for teams.

review logic

What can the AI workflow miss? Who could be harmed by a misleading output? Which source claims are uncertain? What must be reviewed before use? What signal would make the team pause or revise the policy output?