SECSEC-002 — Data Poisoning Attack Risks
Frontier AI Model Demonstrates Capability to Build and Enhance Dangerous AI Systems
5/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Evaluation testing revealed that a frontier model can autonomously construct new AI systems with dangerous capabilities and enhance existing models for extreme-risk applications. Boards face immediate governance exposure as such capabilities could accelerate hostile or dual-use AI development if deployment controls are insufficient.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Model Evaluation for Extreme Risks (Shevlane2023) ↗https://airisk.mit.edu/
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