Enterprise AI is shifting from assistive to autonomous. Like human metabolism regulates energy for balance, AI now has a metabolism of knowledge that constantly consumes, transforms, and acts on data. Without strong governance, this evolution can amplify bias, create opaque decision loops, and introduce systemic risk.
In this episode of CIO Talk Network, Vince Kellen, Chief Information Officer at the University of California San Diego, joins host Sanjog Aul to unpack a practical governance playbook for agentic AI. They explore multi layer controls, probabilistic self regulation, internal and external auditing, and an adoption first approach that keeps AI explainable, aligned, and controllable.
Topics Covered:
00:00 Introduction and why AI needs a metabolic metaphor
03:30 Origin of the framework and knowledge flow in organizations
05:30 Five layers of governance and regulation in agentic AI
08:50 Centralized authority versus federated control
11:20 Customization, standards, and a moving target
13:20 Agents as the new focus of regulation and quality
16:00 Good versus perfect and making practical progress
20:00 Real UC San Diego assistants and use cases
24:45 Who is watching: ensemble of experts safety checks
27:00 Internal and external audits for AI systems
28:30 ROI of governance and when it can be lightweight
31:20 Updating existing AI governance with the metabolic lens
33:30 Continuous delivery and adoption management
34:10 Risks of under regulating critical processes
36:00 Technology versus change management
37:50 A CEO level case for knowledge centric AI
40:18 Closing
Listen on your favorite platform:
Youtube: https://www.youtube.com/watch?v=DOXvAwy2j_M
Vimeo: https://vimeo.com/1071344023
Full Transcript and Episode Details: https://www.ciotalknetwork.com/the-metabolism-of-knowledge-in-agentic-ai-governing-ai-before-it-governs-us/
About CIO Talk Network:
CIO Talk Network is a global peer led platform where enterprise leaders share candid insights that challenge conventional thinking and drive real outcomes.
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Tags:
#AgenticAI #AITrust #AIGovernance #ExplainableAI #RiskManagement #CIOLeadership #EnterpriseAI #CTNTalks
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