Artificial intelligence (AI) promises to increase military efficiency, but also poses unique challenges to multinational military operations and decision-making that scholars and policymakers have yet to explore. The data- and resource-intensive nature of AI development creates barriers to burden-sharing and interoperability that can hamper multinational operations. By accelerating the speed of combat and providing adversaries with a tool to heighten mistrust between allies, AI can also strain the complex processes that allies and security partners use to make decisions. To overcome these challenges and prepare for AI-enabled warfare, policymakers need to develop institutional, procedural, and technical solutions that streamline decision-making and enhance interoperability.
Erik Lin-Greenberg is an Assistant Professor of Political Science at the Massachusetts Institute of Technology. Erik’s research examines how emerging military technology affects conflict dynamics and the use of force. His work has appeared in academic and policy outlets including Journal of Conflict Resolution, Security Studies, Journal of Peace Research, Foreign Policy, and The Washington Post. Erik previously held fellowships at Stanford University and the University of Pennsylvania, and he received the 2020 American Political Science Association Merze Tate Prize for best dissertation in international relations, law, and politics. He completed his PhD at Columbia University and an MS and BS at the Massachusetts Institute of Technology. Prior to graduate school, Erik was an active duty officer in the United States Air Force and continues to serve on the Joint Staff as a member of the Air Force Reserve.