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DTSTAMP:20260722T230826Z
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-quality data, clear intent, and well-defined organizational guardrails
  are prerequisites to trustworthy AI.\n\nAttendees will learn how “co
 ntext” extends beyond data quality to include business purpose, risk 
 tolerance, user roles, regulatory obligations, and lifecycle accountability
 . The talk will outline how governance programs can intentionally build and
  maintain this context through policies, metadata, data classification, hum
 an-in-the-loop design, and continuous monitoring. Real-world examples will 
 demonstrate how insufficient context leads to outcomes such as hallucinatio
 ns, data oversharing, bias, and regulatory exposure—and how strong go
 vernance mitigates these risks while accelerating responsible AI adoption.\
 n\nDesigned for governance, security, compliance, and AI leaders, this sess
 ion bridges strategy and execution, offering actionable guidance to evolve 
 AI governance from static rules to a dynamic system that enables AI to deli
 ver value safely, transparently, 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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