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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16850\nOrganizations wan
 t to deploy AI, but most struggle with the operational realities: unclear o
 wnership, inconsistent data practices, cultural resistance, and governance 
 frameworks that never make it off the page. This tutorial cuts through the 
 noise and focuses on how Responsible AI becomes real inside an organization
 . Drawing from enterprise-scale experience, this full-day session walks lea
 ders through the practical steps of building, scaling, and sustaining Respo
 nsible AI programs. Participants will learn how to align executives, prepar
 e teams, create shared accountability, operationalize governance frameworks
 , and equip non-technical stakeholders to make responsible decisions.\n\nRa
 ther than focusing on theoretical principles, this session concentrates on 
 implementation. Attendees will examine governance operating models, decisio
 n pathways, ownership structures, workforce readiness, change management st
 rategies, and methods for sustaining governance beyond initial deployment. 
 Participants leave with a practical blueprint for transforming Responsible 
 AI from a policy statement into a functioning, measurable capability that s
 upports innovation, reduces risk, and strengthens organizational trust.\n\n
 Learning Objectives\n\nParticipants will learn how to:\n\n
 Translate AI principles into operational controls\n
 Define ownership, accountability, and decision rights\n
 Build cross-functional governance structures\n
 Establish AI Champions and Ambassador programs\n
 Assess organizational AI readiness\n
 Strengthen workforce engagement and adoption\n
 Create governance processes that scale\n
 Measure governance effectiveness over time\n\n
DTSTART:20261119T083000
SUMMARY:Operationalizing Responsible AI: Making Governance Work in the Real
  World
DTEND:20261119T155959
LOCATION: See Description
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