Add an AI Reviewer to Journals

Instead of replacing human peer review, journals should mandate at least one high‑quality large‑language model review alongside human referees, using closed (non‑public) systems and reserving human judgment for originality and interest. This hybrid approach could cut load, reduce low‑quality reviews, and surface technical errors more reliably while preserving human assessment for subtle evaluative judgments. — If adopted widely, this would change gatekeeping, incentives, and the epistemic infrastructure of science and scholarship, with implications for confidentiality, liability, and standards of evidence.