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DTSTAMP:20260909T100225Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16694\n\n\nAs organizati
 ons move from AI assistants to agentic AI and multi-agent systems, AI risk 
 shifts from individual models to autonomous, interconnected systems. Tradit
 ional governance approaches are no longer sufficient. Rabobank's AI Way
  of Working (AI WoW) provides a scalable governance framework that embeds r
 isk oversight throughout the AI lifecycle, from ideation and development to
  deployment, monitoring, and continuous improvement. \n\nThe approach 
 supports three waves of AI adoption:\n\n
 AI as Assistant – productivity and decision support\n
 AI as Partner – agentic AI with increasing autonomy\n
 AI as Game Changer – multi-agent systems with emergent behavior and i
 nterconnected decision-making \n\nThe session demonstrates how lifecyc
 le governance, portfolio-based scaling, and reusable governance patterns en
 able organizations to adopt AI responsibly at scale. Participants will see 
 how AI strategy, use-case categorization, Vendor AI governance and practica
 l controls can be connected through a common governance backbone. Drawing o
 n practical experience from a highly regulated environment, the session sho
 ws how frameworks such as the EU AI Act and NIST AI RMF can be translated i
 nto operational controls, evidence-based decision-making, and clear respons
 ibilities across the three lines of defense. \n\nKey message\nEffectiv
 e AI governance must evolve from model-level controls to system-level overs
 ight, enabling organisations to scale AI responsibly without slowing innova
 tion. \n\nKey Takeaways\n\n
 AI risk is shifting from models to systems. \n
 Autonomy requires deeper oversight. \n
 Governance must be built into the lifecycle. \n
 Controls should be proportional to risk and autonomy. \n
 Responsible scaling requires system-level governance.\n\n\n\n
DTSTART:20261117T110000
SUMMARY:From AI Assistants to AI Agents: Rethinking AI Risk Oversight for t
 he Next Wave of Autonomy
DTEND:20261117T234459
LOCATION: See Description
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