AI for AI Safety: Using Foundation Models to Secure Critical Systems

This ArXiv article explores a crucial area: employing AI, specifically foundation models, to enhance the safety and reliability of AI-driven systems. The work addresses the increasing need for robust validation and verification techniques within safety-critical domains like autonomous vehicles and medical devices.

• •Leverages foundation models (e.g., LLMs) for AI system assurance.
• •Addresses safety-critical applications like autonomous systems and medical devices.
• •Focuses on validation, verification, and possibly, mitigation of AI risks.