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Asimov’s Three Laws of Robotics may be intentionally flawed, but they teach us important lessons about , , and density.

Given AI’s propensity to become increasingly powerful – and hence, dangerous – we humans require some way of constraining AI’s behavior so that even the smartest AI agents can’t weasel out of such constraints.

Today’s agentic AI guardrails are necessary but woefully insufficient to this task. What’s missing are general but enforceable statements regarding ethical behavior, instructions on how to make decisions in ambiguous situations, and how to determine whether an agent has the right information to take specific actions.

While the constraints we give our AI agents must be high context density statements of human intent, we must also assign to humans the role of deciding what even our smartest agentic AI governance agents should be thinking about in the first place.

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Will agentic AI governance run amok? The lesson of Asimov’s Three Laws - SiliconANGLE Will agentic AI governance run amok? The lesson of Asimov’s Three Laws - SiliconANGLE

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