Enterprise AI is rapidly evolving from a decision-support tool to an autonomous decision-maker, fundamentally changing how businesses operate. Just as human metabolism regulates energy for sustainable growth, AI has its own metabolism of knowledge—continuously consuming, processing, and acting on data at unprecedented speed and scale.
But without governance, this self-directed AI evolution can reinforce biases, create decision loops beyond human oversight, and introduce systemic risks—leading to operational inefficiencies, compliance failures, and reputational damage. How do enterprise leaders ensure AI remains explainable, aligned, and controllable—before it starts making critical business decisions on its own?
Guest: Vince Kellen, Chief Information Officer, University of California, San Diego.
Guest Bio: Vince Kellen Expert Insights and Contribution
More on this Episode: The Metabolism of Knowledge in Agentic AI: Governing AI Before It Governs US
More on Healthcare:
https://www.ciotalknetwork.com/extracting-value-from-genai/
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