April

15
2026

3:00 pm EDT - 4:20 pm EDT

Past Event

Closing the data gap for AI policy: Lessons from the Stanford AI Index

  • Wednesday, April 15, 2026

    3:00 pm - 4:20 pm EDT

Online Only


Rapid progress in AI capabilities is creating pressure on existing governance structures. Developing effective governance systems demands an empirical foundation that, so far, has not kept pace with the technology itself. Policymakers seeking to understand the state of AI development and its societal impact face interlocking challenges of lagging and incomplete data sources and inconsistent disclosure practices. Without reliable, comparable, and regularly updated empirical data, they are left responding reactively to fast-moving developments, rather than proactively designing policy solutions informed by the trajectory of AI progress and its effects on society.

This challenge is compounded by a complex and frequently shifting global landscape. Public sentiment on AI remains mixed, and governments worldwide are actively shaping their policy approaches to AI. The resources and infrastructure needed to meet national ambitions continue to draw attention. These trends mark an AI policy environment that is more dynamic than ever before, making information sharing and cross-border coordination increasingly urgent.

On April 15, the Brookings Institution’s AI and Emerging Technology Initiative and Stanford’s Institute for Human Centered AI (HAI) held a conversation on the 2026 edition of HAI’s AI Index and what it reveals about the state of AI development, adoption, and impact. The event featured a presentation by the report’s lead author, followed by a conversation on workforce and economic data featuring Sharat Raghavan, the director of LinkedIn’s Economic Graph Research Institute, Brookings Senior Fellow David Wessel, and AI Index Co-Chair Ray Perrault. A closing panel of experts dove deeper into emerging trends in critical policy domains, identify gaps and barriers in data reliability, and explore what researchers, policymakers, and companies can do to build a stronger empirical foundation for AI governance.

Agenda

  • Footnotes
    1. LinkedIn’s parent company, Microsoft, is a donor to the Brookings Institution, but was not involved in the production of the event. The Brookings Institution is financed through the support of a diverse array of foundations, corporations, governments, individuals, as well as an endowment. A list of donors can be found in our annual reports published online here.