As artificial intelligence tools become increasingly sophisticated, academic institutions face unprecedented challenges in maintaining assessment integrity. One Ivy League educator adopted a proactive approach to combat potential AI-assisted academic dishonesty, implementing innovative detection and prevention strategies. This case study reveals the broader struggle within higher education to develop reliable evaluation methods that can distinguish between genuine student comprehension and AI-generated work, while adapting to rapid technological advancement.

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