A Columbia University student, Chungin Lee, was suspended for developing an AI-powered tool designed to help job seekers cheat during technical coding interviews. The tool, called ‘Coder Interviewer,’ used AI to analyze coding problems and generate solutions in real-time during virtual interviews. The controversy emerged when Lee promoted the tool on LinkedIn, claiming it could help users solve technical problems without detection. The university took action after the post gained attention, citing violations of academic integrity policies. The incident highlights growing concerns about AI’s role in academic and professional assessment processes. Lee’s tool was specifically designed to assist during remote coding interviews, a common hiring practice in the tech industry, by providing automated solutions while appearing natural to interviewers. The case has sparked discussions about ethical boundaries in AI applications and the challenges facing educational institutions and employers in maintaining integrity in remote assessment environments. The suspension serves as a warning about the consequences of using AI for deceptive purposes in professional contexts. Industry experts have noted this incident as part of a broader trend of AI being used to circumvent traditional evaluation methods, prompting calls for more robust anti-cheating measures and ethical guidelines for AI use in professional settings. The case also underscores the need for better detection systems and updated policies regarding AI use in both academic and professional environments.