Multiple Purported AI-Assisted Cheating Incidents Reported Across South Korea's SKY Universities During October 2025 Midterms
October 15, 2025
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.645, rank 1. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.639, rank 2. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.636, rank 3. TAIM detail and related incidents →
- Alleged deployer
- students-at-yonsei-university, students-at-seoul-national-university, students-at-korea-university
- Alleged developer
- openai, unnamed-generative-ai-companies
- Alleged harmed parties
- yonsei-university, seoul-national-university, korea-university, students-at-yonsei-university, students-at-seoul-national-university, students-at-korea-university, faculty-and-staff-at-yonsei-university, faculty-and-staff-at-seoul-national-university, faculty-and-staff-at-korea-university, general-public, general-public-of-korea, academic-integrity, epistemic-integrity
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1270
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.