Victor Angelier

The pitfalls of AI detection in academic writing: bias, false positives, and the need for inclusive assessment

AI-text detectors are increasingly used to police authorship in student assessment and scholarly publishing. This paper argues that they are the wrong instrument for that task. Its design combines a critical synthesis of empirical, information-theoretic, and policy evidence with an original documented exploratory multi...