Why Students Stay Silent About Their AI Use

Abstract

The current discussion of academic integrity treats student silence about AI use as a problem of honesty, to be solved through clearer rules, better detection, and firmer sanctions. This editorial argues the opposite: that silence is not, in the main, a symptom of dishonesty but the predictable outcome of an unmet demand. We are asking students to disclose their use of AI against a standard of legitimate use that we have not defined. Disclosure presupposes a norm against which to disclose. Where that norm is absent, unstable, or contradicted in practice, the rational student says nothing and reads any admission as self-incrimination in a process whose rules have not been published. The integrity literature has tended to position the student as the variable under scrutiny while treating the institution's expectations as fixed and clear. They are neither. Most assignment briefs prohibit "unauthorizzed use" without specifying what authorised use would look like; most policies treat a continuum of practice using AI to understand a source, to correct grammar, to generate an argument as a single prohibited act. We have, in effect, outsourced an unresolved definitional problem to the least powerful party in the system and then interpreted their silence as evidence of guilt.