Interpreting AI Flags: How to Review and Validate Automated Reports

As an independent academic journal editor, you've likely automated the initial screening of submissions - catching duplicated text and manipulated figures with AI tools. But here's the hidden challenge: AI flags are not verdicts. A 92% similarity score might be a self-plagiarized methods section or a legitimate reuse of standard terminology. Without a validation framework, you risk rejecting valid work or missing real misconduct. The Validation Principle: Context-First Triage The key is to treat every AI flag as a hypothesis, not a.