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How a Blind Professor Saw Through His Students’ Cheating

The Algorithmic Bridge Alberto Romero

Roberto Serrano, a blind economics professor at Brown University, discovered that 40 of his students scored perfect 100s on a take-home midterm exam by using ChatGPT to cheat, compared to the class's historical average of 65-80. When he moved the final exam to in-person testing, the average score dropped from 96 to 48, with 22 of the previous perfect-scorers dropping the course entirely. Universities must implement strict measures like oral exams or retroactive degree revocation to address AI-enabled cheating, rather than adopting soft policies that fail to prevent students from using AI to bypass actual learning.

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