The Regulatory Environment: Artificial Intelligence & Cybersecurity Risk
In the rapidly evolving landscape of artificial intelligence and cybersecurity, our panel on "The Regulatory Environment: Artificial Intelligence & Cybersecurity Risk" will address the use of AI in financial services and the pressing need for robust IT management and operations amidst emerging cybersecurity challenges. Our esteemed panelists will delve into how to view and manage potential AI risks as well as the complexities of safeguarding sensitive data and computing infrastructure, highlighting innovative strategies to enhance the confidentiality, integrity, and availability of digital assets. Through a lens of current regulatory frameworks , this session aims to equip attendees with the insights and tools necessary to navigate the AI regulatory landscape as well as the intricate balance between technological advancement and security imperatives, fostering a proactive approach to cybersecurity in the age of AI.
About the speakers
Mark J. Canter
Mark Canter is the Chief Information Security Officer at GAO. In his capacity, he oversees the compliance, governance, and security operations. Previously he severed as Assistant Director in the Information Technology and Cybersecurity (ITC) team at the Government Accountability Office (GAO). His portfolio at GAO includes a diverse list of engagements on such topics of financial and information systems internal control auditing, cybersecurity, emerging technologies such as blockchains, AI, and safeguarding/privacy of information. In addition, he has authored several compliance tools and published several common vulnerabilities and exploits.
Donna M. Murphy
Donna M. Murphy is the Deputy Comptroller for Compliance Risk Policy and the Acting Deputy Comptroller for the Office of Financial Technology at the Office of the Comptroller of the Currency (OCC).
In her role as Deputy Comptroller for Compliance Risk Policy, Ms. Murphy oversees development of policy and examination procedures relating to consumer compliance, fair lending, Community Reinvestment Act (CRA), Bank Secrecy Act, and antimoney laundering issues. She serves as a key advisor to the Committee on Bank Supervision and to the Comptroller on compliance and CRA matters. She took on this role in May 2016.
In her role as Acting Deputy Comptroller for the Office of Financial Technology, Ms. Murphy provides oversight for the office responsible for the analysis and evaluation of financial technology innovations, trends, emerging risks, and potential implications for OCC supervision and OCC-supervised banks. She assumed these responsibilities in September 2023.
Ms. Murphy previously served as the Director of the Community and Consumer Law Division and oversaw the legal department that provides legal interpretations and advice to OCC policymakers, managers, and examiners on consumer compliance and fair lending laws.
Prior to joining the OCC in March 2013, Ms. Murphy served in the Civil Rights Division of the U.S. Department of Justice as a Deputy Chief in the Housing and Civil Enforcement Section, the Special Litigation Section, and the Voting Section.
Before joining the Justice Department, Ms. Murphy served as a law clerk for the Honorable Myron H. Thompson, U.S. District Judge in Montgomery, Alabama.
Ms. Murphy received her law degree from Yale Law School, and is a summa cum laude graduate of the American University in Washington, D.C.
Loren Bushkar
As a member of the innovation policy team at the Federal Reserve Board, Loren Bushkar evaluates and recommends policy for the supervision and regulation of the banking sector across cutting edge topics such as artificial intelligence and the use of data. Ms. Bushkar was previously the Managing Director at the Institute of International Finance and held a variety of roles of J.P. Morgan including Executive Director and Investment Strategist responsible for economic and investment-related analysis and Structured Credit and Securitized Product Origination.
Ms. Bushkar holds an M.S. in Data Science, a B.S. in Systems Engineering and a B.A. in Economics from the University of Virginia.
Steven K. Platt
Steven Keith Platt’s teaching and research focuses on analytics and artificial intelligence. He is also responsible for infusing into the curriculum advanced technologies and supporting faculty research. Before joining the Quinlan School of Business, Steven served as Research Director at the Retail Analytics Council, Northwestern University, where he ran the AI Lab and Retail Robotics Initiative. At Northwestern he also taught AI courses to graduate students in the Department of Integrated Marketing Communications, Master of Science in Artificial Intelligence, and Master of Science in Machine Learning and Data Science.
Steven has consulted with companies including AT&T, Kroger, McDonald’s, and Microsoft, among many others. He recently published "Adopting a Dynamic AI Price Optimization Model to Impact Retail Customer Engagement" in the Journal of AI, Robotics and Workplace Automation. He has also published articles in the ABA Banking Journal, American Marketing Association, Computing Technology Industry Association, Global Retail Management, Hospital Information Technology Europe, Mergers & Acquisitions Journal, Retail Executive Magazine, and Retail Information Systems News. He has been quoted in publications including Bloomberg, Business Week, Chain Store Age, the Chicago Tribune, CNN Business, Inc. Magazine, MIT Technology Review, RFID Journal, Stores Magazine, the San Jose Mercury News, Time Magazine, USA Today, and The Wall Street Journal. As well, he has served as a guest analyst on the CBS Evening News and Early Show, and ABC World News, and lectured at conferences around the globe. He engages with his community as a founding partner of Black Kids Predict, an outreach program targeting inner-city middle and high school students for careers in data science.
In the rapidly evolving landscape of artificial intelligence and cybersecurity, our panel on "The Regulatory Environment: Artificial Intelligence & Cybersecurity Risk" will address the use of AI in financial services and the pressing need for robust IT management and operations amidst emerging cybersecurity challenges. Our esteemed panelists will delve into how to view and manage potential AI risks as well as the complexities of safeguarding sensitive data and computing infrastructure, highlighting innovative strategies to enhance the confidentiality, integrity, and availability of digital assets. Through a lens of current regulatory frameworks , this session aims to equip attendees with the insights and tools necessary to navigate the AI regulatory landscape as well as the intricate balance between technological advancement and security imperatives, fostering a proactive approach to cybersecurity in the age of AI.