Vanderbilt did the math on its AI detector and shut it off. At a one percent false positive rate, their submission volume meant about 750 students a year wrongly accused by a tool that cannot explain its own verdict. And the students it flags most are the ones who learned English second.

Here is the reframe I keep coming back to: integrity in the AI era is not a policing problem you buy software for. It is a design problem you solve once, at the assignment level. Name where AI is welcome, ask students to show their prompts and what they changed, grade the judgment they added on top, and let them defend one choice out loud. No detector required, and nothing to appeal.

So I want the real stories, not the headline version. Have you ever had a detector flag a student you knew was honest? What did you do, and what did it cost the trust in that room? And if you have already dropped detection, what did you put in its place?

Full post: https://www.harvestkernel.com/ai-detection-tools-failing-what-replaces-them/