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Current AI safety evaluations miss the forest for the trees: population-level risks emerge from agent interactions, not isolated model behaviors.
Navigating the EU's regulatory maze for AI agents requires a 12-step compliance architecture and a detailed map linking agent actions to specific laws, or risk non-compliance with the AI Act.
Current AI benchmarks overwhelmingly focus on hallucination and reliability, completely missing crucial loss-of-control risks like autonomous AI development and evading human oversight, rendering them inadequate for EU AI Act compliance.
