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DTSTAMP:20261029T221259Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16930\nWhile AI governan
 ce is grounded in crucial principles such as fairness, accountability, and 
 transparency, there can still be much ambiguity as to how to put these prin
 ciples into practice in real world settings. In this talk, Tomo Lazovich, A
 ssistant Professor of the Practice in AI Governance and Policy at the Brown
  University Data Science Institute, will walk through a few examples of his
  \nown experience building governance metrics and tools in real-world 
 settings, from big tech companies like Twitter to government agencies like 
 the U.S. Census Bureau. Through all of these, he will discuss some of the c
 reativity and novel thinking that needs to happen when translating AI gover
 nance principles into practical settings.
DTSTART:20261117T120000
SUMMARY:From Principles to Practice: Making AI Governance Real
DTEND:20261117T124459
LOCATION: See Description
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