Risk Management in the AI Era: Navigating the Opportunities and Challenges in the Public Sector

Artificial Intelligence (AI) continues to be a term that is greatly misunderstood among the general public. A reasonable risk management approach to the use of AI tools by public managers must carefully consider both potential positive and negative outcomes, opportunities, and challenges. Please join AFERM and IBM Center for The Business of Government to hear more about the government’s broad risk management approach to AI, a risk management framework for when and how government can and should consider using AI tools, and two innovative case studies.

Event Details & Registration

The webinar will be hosted using GoToMeeting. Registration is free, but required. Those registered will receive instructions for accessing the webinar by email prior to the event.

Presenters

Justin B. Bullock

Justin B. Bullock is an assistant professor in the Public Service and Administration department and a research fellow in the Institute for Science, Technology and Public Policy. Bullock earned his PhD in public administration and policy with a specialization in public management and public policy from the University of Georgia in 2014, as well as a master’s in public administration and a bachelor’s in business administration, also from the University of Georgia.

Dr. Bullock has a number of interests at the intersects of public administration, public management, artificial intelligence, digital governance, and digital discretion. He is interested in the effects on governance, administration, and society of the rapid changes in decision making tools and data. He is also interested in what new opportunities, challenges, and questions these rapid changes pose for governance and society.

Matthew Young

Matthew M. Young is an Assistant Professor of Public Administration and International Affairs at the Maxwell School at Syracuse University. His research interests include public management, innovation and technology adoption and use by the public sector, and service delivery. Dr. Young’s work on in the public sector technological innovation has been published in top public administration and management journals, including Public Administration Review, Public Management Review, and Perspectives on Public Management and Governance, among others. He earned his PhD in Public Policy and Management as well as a Master of Public Policy at the University of Southern California Sol Price School of Public Policy, and a Bachelor of Arts degree in Political Science at the University of California at Berkeley. Before joining the academy, Dr. Young worked for more than a decade in Silicon Valley in software engineering, product management, and consulting.

Hosts

About the IBM Center for The Business of Government

The IBM Center for The Business of Government connects research to practice, applying scholarship to real world issues and decisions for government. The Center stimulates research and facilitates discussion of new approaches to improving the effectiveness of government at the federal, state, local, and international levels.

The Center’s publications focus on major management issues facing governments today, including the use of technology and social media, financial management, human capital, performance and results, risk management, innovation, collaboration, and transformation.

The Center has commissioned over 400 reports that focus on major issues facing all governments today. Topics include acquisition, collaboration, transparency, healthcare, performance, innovation, leadership, risk, security, and technology.

About AFERM
The Association for Federal Enterprise Risk Management is the only professional association dedicated to the advancement of Enterprise Risk Management (ERM) in the Federal government through thought leadership, education and collaboration. AFERM provides programs and education about benefits, tools, and leading practices of Federal ERM and collaborated with other organizations and stakeholders to encourage the establishment of ERM in Federal departments and agencies.