The World Health Organization has released a new discussion paper examining how artificial intelligence could reshape the way health policies are developed, evaluated, and implemented. The report, Artificial Intelligence and Evidence-Informed Policy: Emerging Challenges and Opportunities, explores how AI can help policymakers analyze vast amounts of health data, synthesize scientific evidence more rapidly, and improve decision-making across the public health system. WHO emphasizes that AI has the potential to strengthen evidence-based policymaking if used responsibly and with appropriate safeguards.
According to the paper, AI could accelerate tasks that traditionally require significant time and resources, such as systematic reviews, evidence synthesis, forecasting, scenario modeling, and policy evaluation. The technology may enable “living evidence” systems that continuously update recommendations as new research becomes available, helping governments respond more quickly to emerging health threats and changing public health conditions. WHO notes that these capabilities could make health policymaking more adaptive, efficient, and data-driven.
However, the organization also highlights substantial risks. The report identifies concerns including algorithmic bias, lack of transparency, unequal access to AI technologies, weak data governance, and regulatory gaps. If poorly designed or inadequately monitored, AI systems could reinforce existing health inequalities, generate misleading recommendations, or undermine trust in public institutions. WHO stresses that policymakers must understand not only what AI systems can do, but also their limitations and potential failure modes.
Rather than advocating unrestricted adoption, WHO calls for governance frameworks that align AI innovation with public health principles. The report recommends stronger oversight, transparency requirements, accountability mechanisms, and human involvement in key policy decisions. WHO argues that AI should augment—not replace—human expertise and democratic decision-making. As governments increasingly explore AI-powered policymaking, the organization's message is clear: the technology offers significant opportunities to improve health outcomes, but only if its deployment is guided by ethics, evidence, equity, and robust governance.
