Effective AI boundaries require enumerating all possible actions before implementing hardening measures, such as stricter rules or confirmations. Actions that cannot be named or categorized are considered outside the boundary and beyond control, meaning the boundary's strength is irrelevant to them. This principle emphasizes listing and defining discrete actions as the foundational step for governance, rather than focusing solely on making existing controls more stringent.
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