Governing Artificial Intelligence

Ganesh Sitaraman and Alex Pascal make the case that public options for AI and public utility-style regulation of AI will enhance national security by ensuring innovation and competition, preventing abuses of power and conflicts of interest, and advancing public interest and national security goals.

Joel Dodge argues that the executive branch can use the Defense Production Act (DPA) to acquire essential hardware inputs for building public cloud infrastructure.

As federal agencies take advantage of the latest technology to better serve the public, significant concentration in the AI sector means that government contracts risk further entrenching dominant firms—leading to less competition, innovation, and efficiency in procurement.

In a new paper, VPA offers policy solutions for promoting competition in federal AI procurement, and how to implement them.

A close look at the AI tech stack reveals that critical layers are likely to be or already are monopolistic or oligopolistic. Authors offer a way forward.

VPA offers policymakers antimonopoly tools for regulating AI, including industrial policy, public utility regulations, and a public option for AI.

Authors offer two proposals to build public capacity on AI: a new U.S. Artificial Intelligence Service, and a broader U.S. Technology Administration. 

New polling commissioned by VPA reveals that Americans are deeply concerned about the concentration of power in the AI industry and support antimonopoly regulations and building public AI capacity.