These sources collectively examine the regulatory, structural, and safety-oriented frameworks governing modern artificial intelligence. The EU AI Act establishes a legal foundation by categorizing technologies based on risk levels, imposing strict transparency and security requirements on high-risk and general-purpose models. Parallel research into multi-agent architectures reveals that these complex systems possess structural vulnerabilities, where a lack of internal verification allows adversarial attacks to propagate across independent agents. Complementing these technical and legal perspectives, NIST is developing a Risk Management Framework specifically for critical infrastructure, aiming to standardize safety and reliability in high-stakes environments. Together, the texts underscore that ensuring AI trustworthiness requires a transition from isolated model safety to system-wide architectural hardening and comprehensive legal oversight.
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