AI Risk Coverage Monitor
A live index of AI risk coverage in every language, measured against its primary sources. Measurements, records, and a workbench where you combine them. The site states what documents say and when. It never states why.
The cited passage beside every headline that cites it
One primary document. Its verbatim passage. Every headline recorded as citing it, word by word. The build counts the words absent from the passage; the reader reads the rest. 3 pairs, 6 queued.
could support weapons development
AnthropicThreatReport:AIModelsNearBioweaponsThresholdasDroneKillSoftwareEmerges
AnthropicsaysscientistsexploitedClaudeforbioweaponsresearch
AnthropicrevealsAIusedtotestmissiles
filled headline word absent from the passage · outlined word present in the passage · plain stop word, not counted. The meter is absent words over counted words. Computed by the published rules; nothing else is attached.
Every dated document, January to September 12, 2026
49 primary source records and 21 public filings dated 2026, one dot each, in four lanes. Hover any dot. No two dots are connected by the site; the Workbench lets you connect what you choose.
7 forecasts of the same market, 183 times apart
Analyst forecasts for the AI governance, assurance, and red teaming markets, each drawn from its base year to its target year on a log scale. The disagreement is the finding. Philanthropy, institute budgets, and insurance figures sit in the same dataset.
Contributions and lobbying, as filed
FEC and Senate LDA records, dated, each bar a link to the filing or committee page it is derived from. A layer you can place on the timeline yourself. The site places it beside nothing.
37 episodes and segments in twelve days
Podcast episodes and broadcast segments on AI risk, by day and by show. Show, title, host, guest, date, link. No column describes anyone's position. All in the Workbench.
Verb class and source type across the seed
The keyword rule applied to 83 headlines, and the public registry applied to their domains. Both rules are on the Methods page and any reader can re-run them.
Stated probabilities and market prices
Individuals' stated probabilities as published, and prediction market prices when live: Metaculus (reputation points), Polymarket (crypto settled), Kalshi (CFTC regulated). The settlement type changes what a price means, so it is disclosed.
Four component series, one reading, published weights
Each series is normalized to its own 90 day median. The reading is undefined until 30 days of baseline exist, and the ring says how far along that is rather than painting a number.
What changed in an article after it went up
From GDELT's Global Difference Graph, a before and after of the title at 24 hours and one week. Never a verdict on why.
Reader notes, ranked by people who usually disagree
Any exhibit, record, or pair takes a note. A note needs a source URL and 280 characters. It shows immediately under Needs more ratings and is promoted only when raters from different rating histories both find it helpful. Pseudonyms only; no email, no name, no IP. How notes work.