Students caught wearing smart glasses in South Korean exams amid AI cheating fears, prompting Suneung ban and voided results
Several students in South Korea were caught wearing smart glasses during university admissions essay exams, including at the University of Seoul on Oct. 3 and Yonsei University on Oct. 10. In May, a TOEIC test-taker wearing smart glasses was disqualified for cheating. The University of Seoul removed its applicant from the exam room and barred the student from applying for three years. Amid concern over a wave of AI-assisted cheating, the Korea Institute for Curriculum and Evaluation issued Suneung rules: students found wearing smart glasses will have their results voided and will be barred from the following year's exam. The measures reflect mounting concern about AI-powered glasses, which can include cameras, microphones and connections to AI systems capable of reading questions and providing answers.
What the AI did
Students and a test-taker in South Korea wore smart glasses into exams. AI-powered glasses can include cameras, microphones and connections to AI systems capable of reading questions and providing answers. It has not been reported which product was used, or whether AI features were actually used in these cases.
First reported October 15, 2026 · Added to the register October 21, 2026 · 1 source
- Affected
- Yonsei University, University of Seoul
- Country
- South Korea
- When it happened
- October 3, 2026 to October 10, 2026
- First reported
- October 15, 2026
What this means for you
Could this affect you?
If you run exams, admissions tests or certifications. Smart glasses that can connect to AI services can closely resemble ordinary eyewear and are hard to detect by sight. This leaves exams and admissions tests open to AI-assisted cheating.
What to check
- List smart glasses and other AI wearables as banned items in exam rules.
- Train proctors to identify and inspect smart glasses and similar devices.
- Set clear procedures for handling suspected cases of AI wearable cheating.
Areas of your AI programme this touches
Timeline
- October 3, 2026Started
- October 10, 2026Ended
- October 15, 2026First reported
Every fact and its source (7)
- Yonsei University caseOct. 10“caught a student wearing smart glasses on Oct. 10 during a mathematics essay exam”[1]
- University of Seoul caseOct. 3“On Oct. 3, the University of Seoul caught another applicant wearing smart glasses”[1]
- Teachers' responseSecondary Teachers Union petition over added inspection burden“The Secondary Teachers Union said Thursday it would launch a nationwide petition campaign”[1]
- University of Seoul sanctionStudent removed and barred from applying for three years“The university immediately removed the student from the exam room and barred the student from applying for three years.”[1]
- Earlier TOEIC caseTest-taker disqualified in May“In May, a test-taker wearing smart glasses was caught during a regular sitting of the TOEIC English proficiency test in the country and was disqualified for cheating.”[1]
- Regulatory responseSuneung results voided and one-year exam ban for wearing smart glasses“will have that year's test invalidated and will be barred from taking the exam the following year, the institute said”[1]
- Ministerial statementEducation Minister Choi Kyo-jin signalled crackdown on Oct. 7“Education Minister Choi Kyo-jin told a parliamentary audit by the National Assembly's education committee on Oct. 7”[1]
Sources
- South Korea Will Void Exams and Ban Students for a Year Over AI Smart Glasses in Suneung College Testibtimes.com.au · October 15, 2026
How this record is classified. Severity M (2/5): harm to individuals, or a policy breach with limited reach. OECD level: incident, an event in which an AI system led to actual harm. Evidence: Reported, meaning press reporting only.
The facts in At a glance and in Every fact and its source are quoted from the sources listed. The summary, What the AI did and What this means for you are written from those sources and checked against them automatically before publication. Records reflect what has been disclosed, not everything that has happened. Incidents are found through news feeds and the GDELT Project.
