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Brookings Institution AI and Emerging Technology Initiative

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Brookings Institution AI and Emerging Technology Initiative

The Brookings AIET Initiative is one of the most-cited think tank programs on AI policy in Washington. Part of the Governance Studies program, it produces influential research on AI regulation, workforce impacts, US-China tech competition, and algorithmic governance. Brookings reports are staples for policymakers shaping AI legislation.

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618 words · 5 backlinks

Quick Assessment

DimensionAssessmentEvidence
Policy InfluenceVery HighOne of the most-cited think tanks in AI policy, reports regularly referenced by Congress
Research BreadthVery HighCovers AI regulation, workforce, competition, governance, healthcare, national security
Institutional PrestigeVery HighBrookings is consistently ranked among the world's top think tanks
IndependenceHighNonpartisan think tank with diverse funding base
Convening PowerVery HighHosts senior government officials, industry leaders, and international delegations
Historical DepthHighAI research program builds on decades of Brookings technology policy work

Organization Details

AttributeDetails
Parent OrganizationBrookings Institution (founded 1916)
ProgramAI and Emerging Technology (AIET) Initiative, Governance Studies
LocationWashington, D.C.
StructureProgram within nonpartisan think tank
DirectorElham Tabassi (since March 2025; former NIST Chief AI Advisor)
Key FellowsDarrell West (senior fellow), Tom Wheeler (visiting fellow), Valerie Wirtschafter (fellow)
Websitebrookings.edu/projects/artificial-intelligence-and-emerging-technology-initiative
Focus AreasAI regulation, workforce automation, algorithmic governance, US-China competition, democratic accountability

Overview

The Brookings Institution's AI and Emerging Technology (AIET) Initiative is part of the Governance Studies program at one of the world's oldest and most influential policy research organizations. Founded in 1916, Brookings has shaped American domestic and foreign policy for over a century, and its AI program carries that institutional weight into technology governance debates.

The AIET Initiative produces a steady stream of policy reports, commentaries, and books on AI governance that are widely consumed by Congressional staff, executive branch officials, and international policymakers. Brookings' AI work is distinguished by its breadth — covering everything from algorithmic accountability and workforce automation to US-China technology competition and AI in healthcare — and by its institutional credibility, which gives its recommendations significant weight in policy circles.

Key Research Areas

AI Regulation and Governance: Brookings has produced influential analyses of regulatory approaches to AI, including comparative studies of US, EU, and Chinese approaches to AI governance. Their "Network architecture for global AI policy" work has proposed frameworks for international AI governance coordination.

Workforce and Economic Impacts: Extensive research on how AI and automation affect employment, skills requirements, and economic inequality, including geographic analysis of which communities are most affected by AI-driven disruption.

Algorithmic Accountability: Research on the use of AI in government decision-making, including criminal justice, benefits administration, and hiring, with recommendations for transparency and oversight mechanisms.

US-China Technology Competition: Analysis of AI competition between the US and China, including implications for export controls, talent flows, and strategic advantage.

Convening Role

Beyond research, Brookings serves as a major convening platform for AI policy discussions in Washington. The institution regularly hosts events featuring senior government officials, industry executives, and international AI governance leaders, creating a forum for policy deliberation that influences the broader discourse.


Key Dynamics

Centrist institutional voice: Brookings occupies a center-left to centrist position in the Washington think tank landscape, providing a counterpoint to both industry-aligned organizations and more activist groups. Its AI work tends toward pragmatic regulatory recommendations rather than either deregulatory or precautionary extremes.

Complementarity with specialized orgs: While CSET provides deeper AI-specific expertise and GovAI focuses more on frontier AI risks, Brookings brings broader institutional credibility and a wider policy audience. Many policymakers who wouldn't read specialized AI safety research will read Brookings reports.

International reach: Brookings' global reputation and international programs give its AI governance research reach beyond Washington, influencing AI policy discussions in the EU, OECD, and G7.

Structured Data

10 facts·13 recordsView in FactBase →
Revenue
$100 million
as of 2024
Headcount
350
as of Jun 2024
Founded Date
1916

All Facts

10
Organization
PropertyValueAs OfSource
Legal Structure501(c)(3) nonprofit
HeadquartersWashington, DC
Founded Date1916
CountryUnited States
Financial
PropertyValueAs OfSource
Headcount350Jun 2024
Annual Expenses$100 millionJun 2024
Revenue$100 million2024
General
PropertyValueAs OfSource
Websitehttps://www.brookings.edu/
Other
PropertyValueAs OfSource
PublicationTechTank — regular blog series on technology policy, covering AI regulation, workforce impacts, privacy, and platform governance. One of the most-read policy blogs in DC.2025
Program Founded2018

Divisions

3
NameDivisionTypeSlugStatusWebsiteLead
Forum for Cooperation on Artificial Intelligence (FCAI)program-areabrookings-fcaiactivebrookings.edu
AI and Emerging Technology Initiative (AIET)program-areabrookings-aietactivebrookings.eduElham Tabassi
Center for Technology Innovation (CTI)departmentbrookings-ctiactivebrookings.eduNicol Turner Lee

Publications

10
TitlePublicationTypeAuthorsUrlPublishedDateIsFlagship
The HAIP Reporting Framework: Its Value in Global AI GovernancereportMiranda Bogen, Cameron Kerry, Elham Tabassi et al.brookings.edu2026-01
The Coming AI Backlash Will Shape Future Regulationpolicy-briefDarrell M. Westbrookings.edu2025-05
Generative AI, the American Worker, and the Future of WorkreportMark Muro, Molly Kinder, Sifan Liu, Xavier de Souza Briggsbrookings.edu2024-10
The Three Challenges of AI Regulationpolicy-briefTom Wheelerbrookings.edu2023-06
Six Steps to Responsible AI in the Federal GovernmentreportDarrell M. Westbrookings.edu2022-03
Democratizing Harm: AI in the Hands of Nonstate ActorsreportSarah Krepsbrookings.edu2021-11
Strengthening International Cooperation on Artificial IntelligencereportJoshua P. Meltzer, Cameron F. Kerrybrookings.edu2021-02
Protecting Privacy in an AI-Driven WorldreportCameron F. Kerrybrookings.edu2020-02
Algorithmic Bias Detection and Mitigation: Best PracticesreportNicol Turner Lee, Paul Resnick, Genie Bartonbrookings.edu2019-05
How Artificial Intelligence is Transforming the WorldreportDarrell M. West, John R. Allenbrookings.edu2018-04

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