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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16830\nEnterprise AI gov
 ernance fails most often not from lack of policy, but from lack of ownershi
 p. At Intermountain Health, governance frameworks written by IT teams and h
 anded to clinical, legal, and operational leaders rarely stick. The solutio
 n was a business-owned model — one where accountability lived outside
  technology teams and across the functions closest to the risk.\n\nThis ses
 sion walks through the architecture of that model: how we established cross
 -functional governance structures spanning IT, Privacy, Cybersecurity, Lega
 l, Operations and Clinical teams; how we built a system-of-record to track 
 and evaluate 300+ active AI products; how we designed guardrails for LLM de
 ployments in high-stakes clinical workflows; and how we developed AI litera
 cy programs that helped 70,000 caregivers understand their role in responsi
 ble AI use. The result was governance that scaled without becoming a bottle
 neck.\n\n
 How to design a business-owned AI governance operating model that distribut
 es accountability beyond IT — and the structural decisions that made 
 it stick across Clinical, Legal, Privacy, and Cybersecurity teams\n
 A practical framework for maintaining visibility and risk evaluation across
  hundreds of active AI products, including what to track, who owns it, and 
 how to prioritize\n
 Governance guardrails for LLM deployments in regulated, high-stakes environ
 ments — lessons from clinical AI integrations\n
 How to build enterprise AI literacy programs that drive responsible adoptio
 n across a large, non-technical workforce using communication and change ma
 nagement strategies that worked\n
 How to integrate AI governance into existing enterprise demand management a
 nd operational workflows without building a parallel bureaucracy\n
DTSTART:20261118T133000
SUMMARY:From Policy to Practice: Operationalizing AI Governance at a 70,000
 -Person Health System
DTEND:20261118T141459
LOCATION: See Description
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