While many nations, including Canada, China, France, and the United Kingdom, have developed national strategies to support the development and adoption of AI, the United States has not. It has no cohesive plan to support the competitiveness of the U.S. AI industry or to spur the widespread and rapid adoption of AI to all parts of the economy and society. Developing such a strategy will require more than modest increases in funding for AI research: It will require a multi-pronged approach that focuses on a wide array of policy areas, including data and skills, and more in-depth sectoral analysis. Failing to develop such a strategy will not only reduce America’s global competitiveness but slow its economic growth and impede societal progress.
Join the Center for Data Innovation for the release of a new report laying out a detailed U.S. AI strategy and a panel discussion about the ways in which policymakers can make the United States more competitive in the global AI race.
Daniel Castro, Director, Center for Data Innovation (Moderator)
Robert Hoffman, Managing Director of Government Relations for North America, Accenture
Mark McCarthy, Senior Vice President for Public Policy, SIIA
Joshua New, Senior Policy Analyst, Center for Data Innovation
Lindsey Sheppard, Associate Fellow, International Security Program, Center for Strategic & International Studies
Rachel Wolbers, Policy Director, Engine