SECSEC-001 — Model Security Vulnerabilities
LLMs Misused in Education as Cheating Tools and Low-Quality Student Assessors
4/5Sector: EducationGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models are being deployed in education without adequate oversight, enabling student cheating and replacing qualified human assessment with unreliable automated evaluation. Boards face reputational, regulatory, and duty-of-care exposure where AI adoption outpaces governance frameworks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024) ↗https://airisk.mit.edu/
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