The pitfalls of AI detection in academic writing: bias, false positives, and the need for inclusive assessment
“This paper argues that they are the wrong instrument for that task.”
What happened
A review paper finds that AI-writing detectors cannot reliably show who wrote something, and that multilingual and disabled writers are most at risk of being wrongly flagged.