Description: A Turkish student in Isparta was 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.
Entities
View all entitiesAlleged: OpenAI developed an AI system deployed by Turkish student identified as MEE, which harmed students , Turkish YKS exam takers and Turkish educational institutions.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Incident Reports
Reports Timeline
A Turkish student has been arrested for cheating in the first round of the Institutions of Higher Learning Examination (YKS) through a mechanism that involves use of ChatGPT, a generative artificial intelligence model that gets more success…
On Saturday, Turkish police arrested and detained a prospective university student who is accused of developing an elaborate scheme to use AI and hidden devices to help him cheat on an important entrance exam, reports Reuters and The Daily …
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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