AI-Enabled Smart Glasses Threaten Exam Integrity Across East Asia

In June 2026, two examinees in South Korea were caught using AI-powered smart glasses during an English proficiency test that influences hiring. Chinese officials required screening of all eyewear for the gaokao, taken by 10 million students. Taiwan’s university began revising rules after a prospective student was found with similar devices. At HKUST, an assistant professor showed AI glasses can capture exam questions, query a large-language-model AI, and display answers, earning a top-five score among 100 peers. Smart glasses have moved from novelty to mass market; Meta’s Ray-Ban AI glasses sold seven million pairs in 2025, embedding AI that can operate offline or via connectivity, raising concerns about exam integrity and privacy.

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South Korea’s exam administrator reiterated the ban on electronic devices and said Education Ministry is reviewing enforcement. China’s Ministry of Education ordered gaokao candidates to remove or be screened for glasses. Taiwan’s university announced a review of AI-eyewear procedures. England’s exam watchdog head warned that AI glasses and earpieces could worsen cheating and urged tighter controls.

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Thomas Corbin, lecturer at Deakin University, warned that wearable AI poses a challenge comparable to ChatGPT’s impact on essays and doubted that exam practices can be maintained. He noted that reported cases likely represent only a fraction of incidents. Privacy experts flagged ability of AI glasses to transmit visual data to cloud services, raising surveillance concerns.

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Officials cite only a handful of detected cases, yet Corbin’s assessment suggests many more go unreported. No statistics on AI-glass cheating have been released, leaving the scale of the problem uncertain.

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• “If we’re seeing a few cases being reported, we’re seeing a lot more cases not being reported,” — Thomas Corbin, lecturer, Deakin University.

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• “The result was striking, showing that AI glasses are a “viable technology” for handling exams, Meng said.” — Meng Zili, assistant professor, HKUST.

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• “The real question is how quickly we can rethink and adapt our education system — how we change the way we teach, and how we evaluate students,” — Zhang Jun, electrical engineering professor, HKUST.

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• “We should use technology. We should use AI. We should not just say avoid it, stop using it… The bottom line is: don’t outsource your thinking capability,” — Kong Siu Cheung, professor and director, AI and Digital Competence Education Center, Education University of Hong Kong.

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Zhang Jun and Kong Siu Cheung argue education should shift toward metacognition and critical thinking rather than memorization. They recommend integrating AI as a tool while redesigning assessments to reduce incentives for covert assistance. Reviews in South Korea, China, Taiwan, and the United Kingdom suggest regulations will evolve alongside the technology.

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