AI used to cheat in Vietnam high school national exam
Three students in Vietnam's 2025 national high school graduation exam used AI applications to solve exam questions by photographing test papers, while another student used a hidden camera to transmit questions outside the testing room. Security authorities confirmed the violations, and the students confessed; investigations continue to determine penalties.
What happened
During Vietnam's 2025 national high school graduation exam, three students at two testing centres used AI applications to solve exam questions. The students photographed parts of exam papers with mobile phones and submitted the images to AI applications to obtain answers.
One student at Lam Dong testing centre used a camera attached to a shirt button to send exam questions outside the testing room for someone else to solve.
Reported impact
The Ministry of Public Security stated that the incidents involved a small group of individuals and did not affect the safety, seriousness, or psychological impact on the public during exam administration.
Officials acknowledged that use of AI for exam fraud is likely to become more sophisticated in future testing cycles, requiring enhanced oversight technologies and public awareness.
Index analysis
The incidents represent the first documented cases of AI-assisted cheating in Vietnam's national examination system. Officials noted that methods using advanced technology are increasingly sophisticated compared to previous years' smartphone-based violations.
Governance controls
The students confessed to their violations following investigation by security authorities. Officials stated they would continue investigating and would determine penalties based on the nature, scope, and consequences of each case according to exam regulations.
The Ministry of Public Security indicated that future measures would require coordinated solutions involving multiple agencies, particularly deployment of more advanced monitoring technology, alongside enhanced public education about the risks of exam fraud.
Classification
Sources and evidence
Sources not yet published
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