How are regulations affecting the development of AI for financial applications? Does regulation constrain technological advancement or actually, provide opportunities & enhance fairness?
These questions will be answered by the panelists during this session through the sharing of their own perspectives and experiences. Topics include;
• How organizations can achieve regulatory compliance
• Best practices for data governance
• How to develop responsible AI in finance
• How we look the future in terms of data considerations for AI in Finance
Mackenzie Wallace is passionate about the use of data and technology, both as a product innovator and financial regulator. He is co-author of the World Bank’s 2021 technical note, “The Next Wave of Suptech Innovation: Suptech Solutions for Market Conduct Supervision,” on the growing use of such solutions by financial authorities globally. He is a former financial regulator and early employee of the U.S. Consumer Financial Protection Bureau (CFPB), where he helped pioneer the authority’s innovative consumer complaint system and public complaint database. He also served as Fintech Policy Advisor at USAID where he helped create the RegTech for Regulators Accelerator (R2A), working with financial authorities globally to embed data and technology into supervision. He currently serves as Director and Head of Product at fintech, MPOWER Financing, designing inclusive financial products to make higher education more accessible.
Mr. Bryan directs the presales team with MANTA. Prior to joining MANTA from BlackLine, a financial close management SaaS provider where he was Vice President, Global Presales. Over a 20+ year career in the information technology sector, Mr. Bryan has guided technology teams with Computer Associates and Infor. Before focusing on technology, Mr. Bryan served as Chief Financial Officer in the services industry. Mr. Bryan received his Bachelor of Science degree from the University of Virginia.
Ronan is a Strategy & Innovation Manager at NatWest, with an academic background examining potential inequality outcomes from widespread “AI” adoption. He has previously helped break ground on AI Model Risk Governance, Emerging Technology Strategy, and Platform Business Models within Financial Services.