Jack Corrigan and Owen J. Daniels
Recent advancements in artificial intelligence have captured the public’s attention, and debates about how to govern this transformative technology have preoccupied leaders in Washington, Brussels, Beijing, and beyond. Within the last year, policymakers have pursued a litany of AI governance measures, from the European Union’s sweeping AI Act to state- and city-level initiatives in the United States. These approaches vary widely in their scope and scale, as well as their attitudes toward balancing the often-competing goals of promoting AI safety and preserving innovation incentives.
To date, the U.S. government has yet to release any binding AI regulations—most high-level governance efforts in the United States today focus on controlling the government’s own use of the technology and encouraging AI developers to adopt voluntary compliance measures. Lawmakers on both sides of the aisle have batted around a variety of proposals, with some going as far as pushing for a new agency to manage the development and deployment of AI systems. These plans imply the task of regulating AI is too big and too novel for any existing federal regulator.
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