Dissertation Defense - Miles Brundage

Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration


While artificial intelligence (AI) has seen enormous technical progress in recent years, less progress has occurred in understanding the governance issues raised by AI. In this dissertation, I make three contributions to the study and practice of AI governance. First, I provide an assessment of existing AI governance efforts from the perspective of responsible research and innovation (RRI), synthesizing for the first time a range of literatures and highlighting several limitations of extant efforts. Second, I justify and elaborate a theoretical framework for how to think about and enact AI governance, focusing on the unique and non-unique characteristics of AI and the deep uncertainty about its future. Third, I explore, through several case studies, the value of three different methods for conducting AI governance analysis: expert elicitation, scenario planning, and formal modeling. In each case, I explain why these particular methods were deployed, what they produced, and what lessons can be learned for improving the governance of AI in the future. I find that the three methods explored each have substantial but distinct and complementary value for AI governance, and identify areas for future work.


David Guston - Chair
Joanna Bryson, University of Bath
Erik Fisher
Lauren Keeler

Coor Hall, room 5536