Turkish Student in Isparta Allegedly Uses AI to Cheat on Exam, Leading to Arrest

A Turkish student in Isparta was reportedly arrested for using ChatGPT to cheat during the 2024 YKS university entrance exam. The student, identified as M.E.E., is alleged to have employed a sophisticated setup involving a router, mobile phone, earphone, and a button-shaped camera to transmit exam questions to ChatGPT and receive answers in real-time.

Risk classification

• Primary risk domain: 4 Malicious actors
• Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation

The student used an AI system to cheat on a high-stakes university entrance exam to gain an unfair personal advantage, which constitutes academic fraud.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The incident was caused by a human student who intentionally set up and used a deployed AI system to cheat on a high-stakes exam.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The system used was ChatGPT, which is a chatbot and falls under Limited Risk (Level 3) requiring transparency, although it was misused in an educational context.

AI system and alleged parties

• AI system: None named
• AI purpose: Question Answering; Chatbot
• Behaviour type: Tool
• Alleged developer: OpenAI
• Alleged deployer: Turkish student identified as MEE
• Alleged harmed parties: Turkish YKS exam takers, Turkish educational institutions, students

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Negligible. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Negligible, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Negligible, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

People affected

• Occurrences reported: 1
• People reportedly harmed: 1
• People reportedly exposed: 1

Potential causes

Management

• Inadequate exam supervision: Invigilators relied on visual cues rather than technical detection.

Technology

• Generative AI capabilities: ChatGPT solves complex exam questions successfully.
• Miniaturized covert hardware: Button-shaped camera and hidden earpiece allowed secret use.
• Hidden network routing: Cellular modem hidden in shoe sole bypassed standard checks.

Data Inputs

• Visual question scanning: Button camera scanned physical exam questions for the AI.
• Real-time audio output: AI-generated answers recited directly to student's earpiece.
• Two-way mobile communication: Mobile phone relayed spoken sounds to helper.

Human Factors

• Intentional academic cheating: Student planned elaborate scheme to cheat on high-stakes exam.
• External accomplice help: Accomplice A.B. assisted the student during the exam.
• Suspicious physical behavior: Student acted suspiciously, leading to detection.

Process and Methods

• Inadequate entry screening: Security failed to detect shoe-sole modem and button camera.
• Lack of signal monitoring: No wireless signal detection to block real-time transmission.

Regulatory Environment

• High-stakes testing pressure: National exam determines university eligibility, driving extreme cheating.
• Criminalization of cheating: Cheating is a serious offense leading to arrest and trial.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide clear, consistent, and detailed accounts of the cheating mechanism, the devices used, the arrest of the student, and the involvement of ChatGPT. There is little ambiguity regarding the events.

A Turkish student used a hidden camera and ChatGPT to cheat on a national university entrance exam. While representing a novel method of academic fraud, the incident has negligible national security implications and was resolved through standard law enforcement procedures.

• Overall national security impact: Negligible
• Scope: Single nation
• Primary target: Turkey
• Alleged perpetrator: Individual student (M.E.E.)

Threat characteristics

• Imminence: Long-term. Represents an ongoing strategic concern for academic integrity rather than an active national security crisis.
• Autonomy: Human-controlled. The student manually controlled the hardware setup and initiated the process, using the AI as a tool to answer questions.
• Novelty: Evolved capability. While exam cheating is established, integrating miniature hardware with generative AI represents an evolved capability.

Impact by dimension

• Physical security: Negligible. No threat to physical systems, critical infrastructure, or human safety was present in this academic cheating incident.
• Information security: Negligible. No classified data, intelligence collection methods, or systematic disinformation campaigns were involved.
• Sovereignty: Negligible. While the integrity of a national exam was compromised, it was a localized criminal act manageable by local police and did not threaten state authority.
• Economic security: Negligible. The incident involved standard consumer technology and did not threaten strategic industries, financial systems, or national technological advantages.
• Societal stability: Negligible. No threat to social cohesion, civil liberties, or population-scale safety occurred.