In 2019, the European Union published "Ethics Guidelines for Trustworthy AI" and the Monetary Authority of Singapore released "Principles to Promote Fa irness, Ethics, Accountability and Transparency (FEAT) in the Use of Artifi cial Intelligence and Data Analytics in Singapore’s Financial Sector. "
\nWhile these are officially non-binding, they are fast becomi ng de facto standards that need to be adopted by global banks. However, the documents have varying levels of detail and do not provide a practical app roach to ensure compliance.
\nThis case study follows the u se of DMBoK to help implement a holistic update to a bank’s Data Mana gement Framework. It explains in layman’s terms how it meets the spir it of the regulators' expectations, as well as improves customer percep tion of AI and Analytics used.
\nThe s ession will provide:
\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\n DTSTART:20200326T110000 SUMMARY:Implementation of an AI Ethics Framework Using DMBoK 2.0 DTEND:20200326T115959 LOCATION: See Description END:VEVENT END:VCALENDAR