Brown Professor Suspects Majority of His Class Used AI to Cheat (www.insidehighered.com)

Brown University economics professor Roberto Serrano has uncovered a significant wave of suspected cheating among students in his Welfare Economics class after implementing a take-home midterm. This unprecedented move was prompted by student anxiety following a tragic shooting on campus. However, the midterm results, featuring an average score of 96%, starkly contrasted with historical averages of 65-80%, leading Serrano to investigate the use of AI tools like ChatGPT. His findings suggested that many students submitted work reminiscent of AI-generated content, prompting him to switch the final exam back to an in-person format. In the aftermath, the final exam average plummeted to 48.6%, revealing a substantial discrepancy in performance and ultimately leading to the midterm being voided. This incident highlights broader concerns within the AI/ML community regarding the implications of AI on academic integrity. As educational institutions grapple with the realities of AI-assisted cheating, the need for updated academic policies that address generative AI is becoming critical. A Brown committee is currently advocating for changes to academic codes to better delineate acceptable and unacceptable uses of AI in student work. The conversation surrounding these developments is crucial, as experts emphasize the importance of fostering an academic environment that prioritizes integrity while adapting to the evolving technological landscape.