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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16719\nSynthetic data ca
 n help with privacy and compliance, but it also brings real risks. This ses
 sion focuses on the practical questions teams must ask and the main risks t
 o watch for.\n\n	Privacy: re-identification, privacy budgets\n
 Utility: statistical mismatch, missing rare cases\n
 Bias: amplification or masking\n
 Operations: versioning, drift, provenance gaps\n
 False sense of security: assuming synthetic data removes all risk and skipp
 ing checks\n
 Governance and ownership: unclear roles for who approves, documents, and ma
 intains synthetic assets  \n\nYou’ll leave with a one-page 
 decision checklist, the top validation tests to run, and a simple audit evi
 dence template you can use right away.
DTSTART:20261118T143000
SUMMARY:Fake Data, Real Risks: A Guide to Synthetic Data
DTEND:20261118T151459
LOCATION: See Description
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