SECSEC-001 — Model Security Vulnerabilities
ChatGPT Reproduces Crime-Immigration Bias via Subtly Framed Prompt
4/5Sector: EducationGeography: Asia-PacificStage: OperateIngested: —
Executive Summary
A safety evaluation found ChatGPT accepted a premise linking immigrant quality to crime rates and produced policy-style responses that reinforced discriminatory bias. Organisations deploying LLMs face reputational and regulatory exposure when models legitimise harmful social assumptions embedded in user inputs.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023) ↗https://airisk.mit.edu/
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