Every AI-assisted newsroom will eventually publish an AI-originated error. The question is not whether an error will occur but how it will be handled when it does. A pre-designed corrections workflow — rather than an improvised response — determines whether the error damages or strengthens long-term reader trust.
The AI Error Corrections Workflow
Detection: Errors are reported via a visible "Report an error" button on every article, or identified through the newsroom's own ongoing accuracy monitoring. AI-originated errors should be flagged separately from human errors for tracking purposes. Verification: The errors editor verifies the claim and determines whether a correction is needed, what the correct information is, and whether the original source is the AI tool or a human editor who accepted the AI output. Correction: Correct the article content; add a dated correction notice at the top of the article; notify the original author and editor; update the article's dateModified metadata; resubmit to Google Search Console. Post-mortem: Log the error type and how it was introduced. Aggregate error logs to identify systematic patterns that suggest workflow improvements.