Regulatory Market
Regulatory markets represent a novel approach to governing rapidly evolving technologies like artificial intelligence, aiming to leverage market mechanisms to achieve policy goals while addressing limitations of traditional command-and-control regulation or self-regulation. Current research explores auction-based mechanisms and deep reinforcement learning algorithms, particularly within energy markets and for evaluating large language models, to incentivize safer and more responsible AI development and deployment. This approach holds significant potential for improving the effectiveness and adaptability of AI regulation, bridging the gap between policymakers' objectives and the technical complexities of AI systems.
Papers
October 2, 2024
February 29, 2024
October 9, 2023
April 11, 2023