SECSEC-001 — Model Security Vulnerabilities
LLM Use in Academic Writing Erodes Integrity and Pollutes Scientific Literature
4/5Sector: EducationGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI homogenises student writing, suppresses individual expression, and floods scientific publishing with low-quality synthetic manuscripts. Institutions face compounding risks to academic standards, credential credibility, and research corpus integrity.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024) ↗https://airisk.mit.edu/
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