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DTSTAMP:20260514T075259Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12805\nTrust is the foundation 
 for successful AI, but this trust is built on the users’ belief 
 that an organization is utilizing AI responsibly. The AI needs to
  be overtly fair, aspiringly ethical, accountable, and as transparent 
 as possible. With limited (but growing) regulatory oversight thro
 ughout the world, combined with the growing complexity of AI, organiza
 tions must develop AI while showing its responsibility to these abstract pr
 inciples. With the tremendous variation of regulation combined with the 170
  AI and data principles that exist, neither the regulations nor t
 he principles clearly delineate how an organization navigates the abstract 
 ideals, and transforms them to actionable and accountable processes for dat
 a scientists, compliance and risk professionals, and organizational leader 
 during every phase of the AI development and deployment.\nThis present
 ation identifies the current state of:\n\n
 Fairness, ethics, accountability, and transparency (FEAT) for AI\
 n	The regulatory environment for AI\n
 The potential of organizational processes enabling responsible AI\n\n
DTSTART:20210423T080000
SUMMARY:From Principles to Responsible AI: Considerations for Organizations
  That Strive to Showcase Ethical Technologies
DTEND:20210423T084959
LOCATION: See Description
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