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DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12355\nIn 2019, the Euro
 pean Union published "Ethics Guidelines for Trustworthy AI" 
 and the Monetary Authority of Singapore released "Principles to Promot
 e Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Ar
 tificial Intelligence and Data Analytics in Singapore’s Financial Sec
 tor."\nWhile these are officially non-binding, they are fast becoming 
 de facto standards that need to be adopted by global banks. However, the do
 cuments have varying levels of detail and do not provide a practical approa
 ch to ensure compliance.\nThis case study follows the use of DMBo
 K to help implement a holistic update to a bank’s Data Management Fra
 mework. It explains in layman’s terms how it meets the spirit of the 
 regulators' expectations, as well as improves customer perception of AI
  and Analytics used.      \nThe session will provi
 de:\n\n
 A high-level overview of global requirements by thought leader Financial Se
 rvices regulators (EU and Singapore)\n
 Mapping of regulations to DMBoK 2.0 Knowledge Areas\n
 Case study of a project to update a bank’s Data Management Framework 
 for requirements on Ethics for AI and Analytics in Financial Services\n
 Practical issues, lessons learned, and solutions that contributed to projec
 t success\n
 Discussion on applicability of Ethics for AI and Analytics outside banking\
 n	Detailed checklists and work programs used\n
DTSTART:20201022T104000
SUMMARY:Implementation of an AI Ethics Framework Using DMBoK 2.0
DTEND:20201022T112959
LOCATION: See Description
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