An artificial intelligence kill switch—a mechanism designed to halt an AI system's operations in an emergency—sounds like a straightforward safety solution. Yet researchers and policymakers are discovering that building one for modern AI systems is far more complex than flipping a switch. An AI kill switch typically refers to a mechanism that terminates an AI agent's in-progress tasks before harm occurs. Two types exist: internal kill switches modify the AI model itself (weights, prompts, training), while external ones leverage the agent's environment (blocking web access, altering tool outputs). Both face formidable technical and practical barriers.
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