How corrections work
This page is the public record required by section 5 of our editorial standards. It exists so that a reader who relied on an earlier version of a page can see exactly what changed.
A material correction is a change to a fact a reader could have acted on: a date, a figure, a legal citation, an article number, a named authority, a carrier or product name, or the substance of an obligation. Material corrections are logged here and carry a dated note on the affected page.
A non-material change is a typographical fix, a broken link repair, a clarification of wording that does not alter meaning, or a routine update to a tracker whose entries are dated by design. These are not logged individually.
Log
15 August 2026: third-party claims about named insurers
A review of every claim on this site that names a real insurer, reinsurer, syndicate or standards body. Where a claim could not be verified at that party's own domain it was removed rather than softened.
- Munich Re aiSure described as parametric. The AI insurance coverage topic index and the Article 17 deployer guide described aiSure as parametric. Munich Re does not use that word for aiSure anywhere it publishes. Munich Re and Mosaic Insurance describe it as a performance guarantee for AI systems that settles on measurable performance data. The label was ours and has been removed.
- Munich Re Special Enterprise Risks. The Article 17 deployer guide attributed aiSure to a Munich Re Special Enterprise Risks division. No such divisional attribution is published. It has been removed.
- Hamilton Insurance Group. Our AI exclusions article described Hamilton as applying a management liability AI exclusion across directors and officers and errors and omissions cover, and listed it that way in the carrier comparison table. Other trade reporting describes Hamilton's position instead as a sublimit inside errors and omissions or cyber cover. For a buyer those are opposite outcomes: one removes the cover, the other caps it. Hamilton publishes nothing about AI underwriting on its own site, so neither version can be checked at the carrier. The page now states neither and says why, and the table row reads as unconfirmed.
- Testudo capacity expansion. The April 2026 briefing dated the Atrium and QBE capacity expansion to March 2026. Testudo dates it 26 February 2026. Corrected.
- EIOPA opinion reference number. The reference EIOPA-BoS-25-360, cited across this site for the Opinion on artificial intelligence governance and risk management, was checked against the cover page of the published PDF and is correct. No change was needed. It is recorded here because an earlier review across the network could not confirm it and removed it elsewhere.
17 August 2026: Lloyd's syndicate numbers
Lloyd's runs a public market directory that needs no login. The syndicate numbers this site cited were read there. One of the two could not survive the reading.
- Chaucer syndicates 1084 and 1176. The AI exclusions article, its reference list and the April 2026 briefing all said Armilla writes standalone AI liability through Chaucer's Lloyd's syndicates 1084 and 1176. Half of that is false. Lloyd's own market directory lists 1084 as Chaucer Syndicates 1084, active, writing classes that include cyber, professional indemnity and directors and officers. It lists 1176 as Nuclear Syndicate 1176, whose classes of business are cargo, engineering, nuclear and terrorism. A nuclear syndicate does not write AI liability. Beyond that, no source names any syndicate number for this product: Chaucer's own announcement of the Vanguard AI structure says only that it is backed by Lloyd's of London. Both numbers have been removed rather than reduced to the defensible one, because keeping 1084 alone would still be our inference rather than anyone's published statement. What is published, and is retained, is that Armilla Insurance Services is a Coverholder at Lloyd's and that the structure was launched with Chaucer on 10 February 2026. Verified at ldc.lloyds.com and chaucergroup.com.
- Aggregate limits stated as USD 25 million or more. The same two pages gave Armilla's AI aggregate limits as USD 25 million or more per organisation. Armilla publishes a Standalone AI Liability Policy with limits of up to USD 25 million per organisation. Up to and or more are opposite claims about the same number. Both pages now use the published form. Verified at armilla.ai.
Reporting an error
If you believe a page on this site states something that is wrong, write to editors@agentliability.eu with the page URL and the specific statement. We answer every report. Where a claim cannot be verified at the source that issued it, we remove the claim rather than soften it.
Corrections practice across the wider network is published on each site: