Establishing approaches and standards that enhance transparency and embed accountability in the governance of AI.
The Brookings Institution is shaping the future of AI policy—advancing research, collaboration, and institutional innovation to meet the moment. Through its Artificial Intelligence and Emerging Technology Initiative, Brookings delivers actionable insights grounded in rigorous, interdisciplinary scholarship; convenes diverse stakeholders to solve complex challenges; and builds capacity to use AI tools that elevate research and inform decision-making.Â
Brookings envisions a future where innovations in AI and emerging technologies serve humanity’s highest aspirations, promote global prosperity, and strengthen democratic institutionsÂ
The future of AI is not inevitable. Artificial intelligence is transforming how we work, learn, govern, and organize economies. But its rapid evolution often outpaces our ability to understand its full impact. Leaders face unprecedented challenges in building governance frameworks, while organizations must make critical decisions amid uncertainty. The lack of standardized methods to test, validate, and monitor AI systems across their lifecycle only deepens the complexity.Â
Brookings is shaping the path forward. Brookings is guiding this transformation by engaging leaders across public, corporate, and civic sectors. Through rigorous research and collaborative problem-solving, we deliver evidence-based policy recommendations to help society harness AI’s benefits while minimizing its risks.
To help leaders address their most pressing policy challenges Brookings conducts forward-thinking AI-related research and produces actionable recommendations through rigorous, interdisciplinary analysis and insights. Leaders demand creative approaches to research and frontier thinking to stay ahead of the technology curve. This imperative drives a research agenda about AI and its limitations, capabilities, and impacts, even as they remain empirically unverifiable. This poses a critical issue: we cannot govern what we cannot measure. As a result, the technology’s potential benefits — including productivity gains, scientific discovery and improved public services — are substantial but will not be automatically realized. Decisionmakers require policy recommendations anchored in comprehensive, evidence-based research in order to deliver on the potential of truly beneficial AI – at home and around the world.
The Artificial Intelligence and Emerging Technology (AIET) initiative drives Brookings’ work on AI by conducting rigorous original research, convening strategic discussions, and bolstering collaboration among research centers across the institution. AIET also produces evidence-based analysis to help decision-makers understand how these technologies are reshaping society and to craft policies that maximize benefits while mitigating risks.
The centers listed here—Center for Technology Innovation, Center for Universal Education, Center for Sustainable Development, Africa Growth Initiative, Center for Regulation and Markets, Strobe Talbott Center for Security, Strategy, and Technology and John L. Thornton China Center —are deeply engaged in AI-related research and represent a broader network of Brookings teams working on these issues. AIET strengthens connections among these centers, enabling shared insights and coordinated approaches that inform policies that optimize benefits and responsibly address risks. To discover the full scope of our AI work—including research projects, events, and a complete list of scholars—visit the Brookings Artificial Intelligence webpage.
Establishing approaches and standards that enhance transparency and embed accountability in the governance of AI.
Advancing policy frameworks and evaluative metrics to assess and guide AI’s impact on economic structures and labor markets.
Identifying principles and standards that help maximize AI’s contributions to human development while enhancing AI’s trustworthiness.
Advancing interoperable approaches and governance models that enable cross-border cooperation, reduce fragmentation, and promote global stability.
Scanning emerging technologies and setting conceptual frameworks to evaluate, govern, and align them with societal objectives.
By merging deep policy insights with hands-on AI capabilities, Brookings will not only study the future—we will help responsibly create it. The AI capability hub will transform how we conduct research, and develop the institutional experience needed to shape AI policy through direct engagement. It will provide scholars and researchers with AI-driven tools and data-enriched environments that help them tackle complex research challenges. The use of AI, including among a new cadre of technical analysts/data scientists, will build knowledge and “lived-in” experiences that support evidence-based policy recommendations and allow Brookings to share good practices with the community at large. The AI capability hub will position Brookings as a leader among policy research institutions by combining theoretical policy expertise with practical AI implementation.
By merging deep policy insights with hands-on AI capabilities, Brookings will not only study the future—we will help responsibly create it. The AI capability hub will transform how we conduct research, and develop the institutional experience needed to shape AI policy through direct engagement. It will provide scholars and researchers with AI-driven tools and data-enriched environments that help them tackle complex research challenges. The use of AI, including among a new cadre of technical analysts/data scientists, will build knowledge and “lived-in” experiences that support evidence-based policy recommendations and allow Brookings to share good practices with the community at large. The AI capability hub will position Brookings as a leader among policy research institutions by combining theoretical policy expertise with practical AI implementation.