Research Program 02

AI, Data, and Public Policy

AI, data, and public governance

Examines how AI develops through markets and institutions, and how its use changes economic activity, public authority, and social life.

AI policy requires analysis of institutions, markets, and technical systems.

Artificial intelligence depends on technical infrastructure and the organizations that control its development and use. Those arrangements determine what systems can be built, who can deploy them, and under what conditions.

Research examines how organizations govern AI and how automated systems alter institutional practice. It also studies how markets shape technological development and how public institutions build the capacity to use AI responsibly.

Core research domains

01

AI governance and model risk

How institutions establish responsibility for AI systems, evaluate their performance, and determine acceptable risk.

02

Data privacy and governance

How institutions govern access to data and how those arrangements shape privacy, responsibility, and technological capability.

03

Public-sector AI

How public institutions incorporate AI into administrative practice and how those systems change institutional capacity and accountability.

04

AI Markets, Industry, and Institutions

How economic institutions organize the resources required to develop AI, and how control over those resources shapes competition and technological capability.

Guiding questions

What evidence and oversight should institutions require before deploying consequential AI systems?
How do institutional rules for data shape privacy and access, and with what consequences for technological capability?
Under what conditions does AI strengthen public institutions, and how does its use change administrative capacity and accountability?
How do economic institutions shape which AI technologies are developed, who can build them, and who captures their benefits?
How do computing and energy infrastructures, together with supply chains, constrain AI development and deployment?
How does AI reorganize work and organizations, and how do those changes affect markets and public authority?

AI Infrastructure

AI development depends on infrastructures that connect computing capacity with industrial and organizational capability. Access to these systems shapes who can develop AI and at what scale.

Compute and semiconductors

How access to computing capacity shapes entry into AI development and the distribution of technological capability.

Data centers and energy

How the physical demands of computing connect AI development to energy systems and infrastructure investment.

Cloud and supply chains

How infrastructure dependencies shape access, resilience, and organizational capability.

Technical labor and capabilities

How specialized expertise and organizational learning affect the capacity to develop and evaluate AI systems in practice.

Connected research

AI intersects with research across the Institute because its development depends on institutions that also shape economic, industrial, military, and regulatory change.

Research and publications

Explore Institute publications connected to AI as a technological system embedded in economic and public institutions.

Explore publications

Work with the Institute

The Institute welcomes collaboration with researchers and institutions working on technology and public policy.

Contact the Institute →