- Webcast -
Wednesday, July 10, 2024 11:00 AM
As organizations integrate AI into their operations and business strategies, it’s critical for business leaders, risk managers, and young professionals to understand the benefits as well the potential risks, ethical considerations, and emerging regulations associated with its use.
That’s why GARP launched its brand-new RAI Certificate.
Are you interested in accessing understandable, comprehensive knowledge about the opportunities and potential risks created by using AI? Please join us to hear from key members of the RAI advisory committee who will discuss:
Learn why the new RAI Certificate is a valuable resource that can help you advance your career.
William May
Managing Director, Global Head of Certifications and Educational Programs
Dr. Anand Rao
Ph.D, Distinguished Service Professor of Applied Data Science and Artificial Intelligence, Carnegie Mellon University; Global AI Lead, PwC (retired)
Peter Millican
PhD, Professor of Philosophy, Head of Education & Outreach, Institute for Ethics in AI, University of Oxford; Visiting Professor of Philosophy, National University of Singapore
Managing Director, Global Head of Certifications and Educational Programs
William (Bill) May is the Managing Director of Global Head of Certifications and Educational Programs at GARP, and is responsible for the FRM, SCR, and other risk-relevant educational programs. Prior to joining GARP, William had over 20 years of market experience including serving as a Senior Director in Fitch Ratings’ credit market research group and as a Senior Research Officer at UBS Wealth Management. He has worked for several buy-side and sell-side firms including Bank of America and Federated Investors as well as specialty firms like Andrew Kalotay Associates and Law and Economic Consulting Group. He began his career in the research function of the Federal Reserve Bank of New York and has worked on the Open Market Trading Desk and as a bank examiner. William holds a BS in applied mathematics and economics from Stony Brook University; an MBA, MA in economics, and Advanced Certificate in financial econometrics and data analysis from Fordham University; an MS in financial engineering from the NYU Tandon School of Engineering, an MS in applied statistics and an EdM in measurement and evaluation from Columbia University’s Teachers College where he is currently pursuing an MS in neuroscience and education.
Ph.D, Distinguished Service Professor of Applied Data Science and Artificial Intelligence, Carnegie Mellon University; Global AI Lead, PwC (retired)
Anand Rao is Adjunct Professor in BITS Pilani’s APPCAIR AI Center. He also serves on the Advisory Board of Oxford University’s Institute for Ethics in AI, World Economic Forum’s Global AI Council, OECD’s Network of Experts on AI, OECD’s AI Compute initiative, Advisory Board of Northwestern’s MBAi program, Responsible AI Institute, Nordic AI Institute, and International Congress for the Governance of AI.
Anand focuses on research, innovation, applications, and adoption of data, analytics, and AI. He was Global Artificial Intelligence Leader for PwC. Before consulting Anand was Chief Research Scientist at the Australian Artificial Intelligence Institute.
He earned his Ph.D from University of Sydney and an MBA from Melbourne Business School. Anand has co-edited four books on Intelligent Agents and has published over fifty papers on Computer Science and Artificial Intelligence in major journals, conferences, and workshops. In addition, he has authored over 100 articles in the business and trade press. Among Anand’s awards include Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization. He was listed among the Top 50 Data & Analytics professionals in USA and Canada, Top 50 professionals in InsureTech, and Top 25 Technology Leaders in Consulting.
PhD, Professor of Philosophy, Head of Education & Outreach, Institute for Ethics in AI, University of Oxford; Visiting Professor of Philosophy, National University of Singapore
Peter Millican has taught and researched across a broad range, from AI, philosophy of mind and language, to moral philosophy and philosophy of religion. Over fifty of his published papers have been on the interpretation, analysis, and assessment of classic philosophical arguments, deriving especially from the work of David Hume, but also Anselm, Locke, Russell, and Turing.
Peter has also – for nearly forty years – been working on the intersection between Philosophy and Computer Science, teaching and developing educational resources across this increasingly important intersection. Before moving to Oxford in 2005, he spent 20 years lecturing in Computing and Philosophy at the University of Leeds, and at Oxford, he created and oversees the elite degree programme in Computer Science and Philosophy.
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