Source: The Atlantic
The collapse of institutional trust in AI detectors is forcing universities into a binary choice: drop plagiarism enforcement entirely or accept unverifiable accusations against students. Schools like Duke and MIT have explicitly banned detection tools after they flagged legitimate student work, creating a liability problem where the penalty for a false positive—destroyed academic reputation—vastly outweighs the benefit of catching actual cheating. The core issue is incentive misalignment. The cost of false positives falls on individual students while the benefit of detection accrues to the institution, making the tools politically unsustainable regardless of accuracy gains.