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DTSTAMP:20260909T103259Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16676\nAs organizations 
 rapidly deploy AI across business functions, many governance efforts strugg
 le not because of weak controls, but because AI systems lack the context th
 ey need to operate safely, ethically, and effectively. This session explore
 s AI governance through a practical, context-first lens—arguing that high-q
 uality data, clear intent, and well-defined organizational guardrails are p
 rerequisites to trustworthy AI.\n\nAttendees will learn how “context” exten
 ds beyond data quality to include business purpose, risk tolerance, user ro
 les, regulatory obligations, and lifecycle accountability. The talk will ou
 tline how governance programs can intentionally build and maintain this con
 text through policies, metadata, data classification, human-in-the-loop des
 ign, and continuous monitoring. Real-world examples will demonstrate how in
 sufficient context leads to outcomes such as hallucinations, data overshari
 ng, bias, and regulatory exposure—and how strong governance mitigates these
  risks while accelerating responsible AI adoption.\n\nDesigned for governan
 ce, security, compliance, and AI leaders, this session bridges strategy and
  execution, offering actionable guidance to evolve AI governance from stati
 c rules to a dynamic system that enables AI to deliver value safely, transp
 arently, and at scale.
DTSTART:20261116T120000
SUMMARY:AI Governance - Context Is Key! Let’s Understand What It Takes to M
 ake Data “AI READY”
DTEND:20261116T124459
LOCATION: See Description
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