This panel explores the complex landscape of governing emerging disruptive technologies such as artificial intelligence, blockchain, synthetic biology, and autonomous systems. As these innovations rapidly evolve, traditional governance mechanisms struggle to keep pace. We seek to examine innovative approaches that can anticipate, adapt to, and shape the trajectory of these transformative technologies.
We invite papers with broad implications for regulation, governance, and public policy. Our interest extends beyond problem identification to encompass public, governmental, and regulatory responses to these challenges. Some key areas of interest include:
• Detailed studies of risks, uncertainties, and unintended consequences of emerging disruptive technologies on economy, society, and environment
• Case studies examining diverse governance approaches addressing technological risks
• Analysis of new regulatory strategies, institutions, and discourses emerging in response to disruptive technologies
• Evaluation of governmental experiences with novel governance mechanisms
• Analysis of the role of different constituencies in shaping policy, regulatory designs, and governance
• Examination of the role of anticipatory policy design and adaptive governance in addressing challenges associated with disruptive technologies
• Examination of the role of Regulatory Sandboxes and Experimentation in creating controlled testing environments that are effective while protecting consumers.
• Examination of the role of Cross-Sectoral and Cross-Jurisdictional Coordination in technology governance.
• Examination of the role of different institutional arrangements and power dynamics in the governance of emerging disruptive technologies
• Analysis of harmonization efforts and challenges in global technology regulation
• Investigation of how varying institutional structures influence governance outcomes
We welcome empirical, theoretical, and comparative approaches to these questions. Interdisciplinary perspectives are particularly encouraged.