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DTSTAMP:20260422T092102Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16117\nAs artificial intel
 ligence (AI) continues to evolve, organizations face mounting challenges in
  balancing innovation with ethical responsibility. This talk explores the e
 ssential role of AI governance and policies in promoting ethical practices 
 across industries, offering a roadmap for adoption.\n\nWe will examine key 
 distinctions between structured and unstructured data, highlighting the eth
 ical implications of each and addressing strategies to ensure algorithmic e
 quity while avoiding undue bias. Emphasis will be placed on critical consid
 erations such as data privacy, security, transparency, explainability, and 
 continuous monitoring of AI models.\n\nTo provide actionable insights, the 
 discussion will also include:\n\n
 The importance of AI governance and ethical practices, supported by organiz
 ational policies for adoption.\n
 A procurement guide as a framework for policy and process improvements.\n
 Understand the ethical and governance challenges of AI in structured and un
 structured data contexts.\n
 Explore healthcare as a model for AI application, with lessons applicable t
 o a wide range of industries.\n\n
DTSTART:20250507T150000
SUMMARY:Bridging Governance and Ethics in AI: A Roadmap for Adoption
DTEND:20250507T154459
LOCATION: See Description
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