A Constitution for the New Enterprise: 15 Rules for AI Governance
SMRTR summary
Running AI in an enterprise requires more than just good tools; it requires formal governance. A set of 15 rules emerged from a series of essays on AI architecture, covering principles like distinguishing approvals from verifiable data, governing by consequence, and ensuring that outcomes actually change future behavior. Without this kind of structured framework, AI deployments stay reactive rather than truly learning systems.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
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