AI detection tools were introduced to protect academic integrity, but mounting evidence shows they often undermine trust, equity, and due process. This article examines the technical and ethical limits of AI detection in higher education and explores hybrid writing and post‑plagiarism frameworks as a more sustainable path forward, one that treats AI as a human‑in‑the‑loop tool rather than a mechanism for surveillance. Read More
