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DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15287\nAs early adopter or
 ganizations are making headlines with new and exciting Generative AI capabi
 lities, those weekly headlines remind us that GenAI solutions also carry ad
 ditional risks. Understandably, many organizations are beginning to turn at
 tention to governance and management practices that allow them to capture v
 alue quickly while also ensuring the responsible use of powerful tools.\n\n
 In this discussion, we’ll explore:\n\n
 Dimensions of Risk: Identify the risk factors with GenAI solutions and how 
 they compare to traditional AI\n
 Intellectual Property and Observability: Navigate the complexities of publi
 c-vs-private models and training data to manage legal, ethical, and data pr
 otection implications\n
 Redefining “Quality”: Adapt quality monitoring of input and out
 put data to improve predictability of GenAI solutions\n
 Critical Participation: Recognize key voices across the organization and ho
 w their roles change\n
 Supporting Initiatives: Advocate for Data Governance, MLOps, and other prog
 rams to support risk management\n\n
DTSTART:20240605T134500
SUMMARY:Adapting AI Governance for Responsible Generative AI Adoption
DTEND:20240605T142959
LOCATION: See Description
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