One Health Security · Topic Pathway
Machines can now watch for outbreaks at a scale no human team can match. How AI is reshaping epidemic intelligence, why provenance and governance decide whether it actually helps, and where our own research fits.
Artificial intelligence against pandemics is often imagined as the future. Much of it is already operational: WHO's Epidemic Intelligence from Open Sources scans the world's open information in near real time, and a wider ecosystem of national and private systems does the same. The machine watches; the human decides.
This pathway looks at what that shift really means. It examines how AI-assisted epidemic intelligence works and where it fails, why trustworthy data and provenance are the true bottleneck, and how One Health Security's Solon project approaches the governance side of the same problem — because a faster sensor on a slow, untrusting decision system still produces a slow response.
Use this curated sequence:
AI in Epidemiology — a special feature, October 2026
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