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The Metabolism of Knowledge in Agentic AI: Governing AI Before It Governs US

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Manage episode 476399352 series 1458176
Content provided by CIO Talk Network and CIO Talk Network - CTN. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CIO Talk Network and CIO Talk Network - CTN or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

Follow CIO Talk Network: LinkedIn: linkedin.com/company/cio-talk-network X (Twitter): twitter.com/ciotalknetwork Website: ciotalknetwork.com

Tags: #AgenticAI #AITrust #AIGovernance #ExplainableAI #RiskManagement #CIOLeadership #EnterpriseAI #CTNTalks

  continue reading

840 episodes

Artwork
iconShare
 
Manage episode 476399352 series 1458176
Content provided by CIO Talk Network and CIO Talk Network - CTN. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CIO Talk Network and CIO Talk Network - CTN or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

Follow CIO Talk Network: LinkedIn: linkedin.com/company/cio-talk-network X (Twitter): twitter.com/ciotalknetwork Website: ciotalknetwork.com

Tags: #AgenticAI #AITrust #AIGovernance #ExplainableAI #RiskManagement #CIOLeadership #EnterpriseAI #CTNTalks

  continue reading

840 episodes

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