SECSEC-001 — Model Security Vulnerabilities
Open-Weight AI Models Fine-Tuned by Bad Actors for Harmful Use
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Publicly available model weights can be cheaply and rapidly fine-tuned to remove safety controls, enabling harmful applications at a fraction of original training cost. Boards face liability and reputational exposure as open-weight releases undermine governance frameworks designed for closed, controlled AI deployment.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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