Editorial Review

refining storytelling, ensuring editorial standards and approving publication

Editorial review is where a piece is refined, checked against your standards, and approved for publication. It is the last point where someone with responsibility says yes. AI can flag issues like unclear passages or possible errors, so the question is what it helps catch and what still needs human judgment before publication.

Questions to explore

// use these as prompts in a workshop or on your own. There are no right answers.

How does a story get reviewed and approved before it goes out today?
What kinds of problems tend to slip through your current review process?
Where could AI help flag errors, unclear passages, or standards issues during review?
How would you make sure AI suggestions do not flatten a writer's voice or intent?
Who holds final responsibility for publication, and how does that change if AI is part of the review?

Expert voices

// notes from the journalists and AI experts who helped shape this kit

“Reporters can use AI as a sounding board to check their reporting for blind spots and bias.”

Olaya Argüeso Pérez, Freelance AI Trainer

“Would you trust AI to give you feedback on your first drafts? Would you be comfortable treating it as an early-stage editor?”

Carl Javier, Data and AI Ethicist

Things to consider

AI can flag a problem, but approving publication stays a human decision.
An AI suggestion is advice, not a standard, so weigh it against your own.
Make sure the person signing off understands what the tool did and did not check.

using this card

Pull Editorial Review when it is relevant and set it aside when it is not. Pair it with the other Journalism cards, lay them out on a table, and use the questions above to get everyone on the same page. Capture what you discuss on sticky notes or in a shared doc.