Academic publishers and reviewers cannot reliably detect AI-generated mathematical proofs and research

Mathematics journal editors, peer reviewers, and publishers face a critical authenticity crisis as AI tools become sophisticated enough to generate plausible-looking proofs and mathematical arguments. Current detection methods are inadequate, creating risk of fraudulent papers entering the academic record, damaging journal credibility, and undermining the integrity of mathematical knowledge. Existing plagiarism detection tools don't catch AI-generated content that is original but potentially incorrect or fabricated.