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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16694\n\nAI is no longer
  just a productivity tool. As organizations rapidly move from AI assistants
  to agentic AI and towards multi-agent systems, they are entering a fundame
 ntally different risk landscape, one defined by autonomy, emergent behavior
 , and interconnected decision-making. Traditional, model-centric governance
  is no longer sufficient.\n \nThis session offers a forward-looking ye
 t practical case study from Rabobank, showing how AI risk oversight can kee
 p pace with this shift. At the core is a standardized “AI Way of Work
 ing” (AI WoW): a governance backbone that embeds risk oversight direc
 tly into the lifecycle of every AI use case from ideation to deployment and
  beyond.\n \nThe session demonstrates how the AI WoW scales across thr
 ee waves of AI adoption: AI as an assistant, AI as a partner (agentic AI), 
 and AI as a game changer (multi-agent systems), each introducing distinct r
 isk profiles, control requirements, and governance challenges. It brings th
 is to life through concrete design choices, trade-offs, and lessons learned
  from operating in a highly regulated environment.\n \nParticipants wi
 ll gain a clear view of how risk oversight becomes actionable, how framewor
 ks such as the EU AI Act and NIST AI RMF translate into day-to-day practice
 s, and why the future of AI governance must shift towards system-level over
 sight. This is not a vision talk; it is a practical blueprint for organizat
 ions that want to scale AI responsibly without slowing innovation.\n \
 nKey takeaways:\n\n	\n
 Why AI risk is shifting from models to autonomous, interacting systems\n	\n
 \n
 How to operationalize scalable AI governance with a lifecycle-based approac
 h\n	\n	\n
 How to translate regulatory frameworks into concrete, usable controls\n	\n
 \n
 A proven blueprint for scaling AI oversight without blocking innovation\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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