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DTSTAMP:20260722T235850Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16756\nMost AI governanc
 e programs can document that controls were intended. Far fewer can prove th
 ose controls survived when an AI asset moved across systems, teams, vendors
 , clouds, or jurisdictions.\n\nThis workshop introduces the Governance Orph
 an Problem: the failure pattern that occurs when a model, dataset, prompt, 
 API, or agent workflow continues to exist, but the evidence of its governan
 ce becomes fragmented across catalogs, model registries, tickets, documents
 , dashboards, GRC systems, and audit logs. Participants will learn how to m
 ove from policy documentation to portable proof by designing verifiable AI 
 governance evidence that remains tied to the asset through migration, vendo
 r handoff, regulatory review, and downstream use.\n\nUsing a practical desi
 gn-lab format, attendees will stress-test an AI use case, identify evidence
  gaps, distinguish documentation from proof, design boundary-crossing contr
 ols, and define an audit-ready portable evidence package.\n\nParticipants w
 ill learn how to:\n\n
 Identify where AI governance evidence becomes fragmented or orphaned\n
 Stress-test AI assets across system migration, vendor handoff, cloud moveme
 nt, organizational transfer, and regulatory expansion\n
 Distinguish lineage, provenance, chain of custody, documentation, and verif
 iable proof\n
 Map where governance evidence lives today across catalogs, model registries
 , GRC tools, tickets, logs, and monitoring platforms\n
 Design pre-execution control gates that allow, deny, or escalate high-risk 
 AI boundary crossings\n
 Build a portable evidence package checklist for audit, model review, procur
 ement, incident response, and regulatory examination\n
DTSTART:20261119T083000
SUMMARY:Preventing AI Governance Orphans: From Policy Documentation to Port
 able Proof
DTEND:20261119T155959
LOCATION: See Description
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