How to Use the Framework GAO’s framework is a method for assessing AI capabilities and capacity in the U.S. and its competitiveness. A nation’s competitiveness in AI is how well it develops or deploys AI technologies compared to other nations. Policymakers may be interested in knowing how the U.S. compares to other nations in the AI race. GAO developed this framework to help analysts from government, industry, academia, and elsewhere obtain and provide structured information to policymakers about AI competitiveness. The complexity of factors affecting AI competitiveness makes it difficult to decide which factors are more important than others. The framework organizes relevant factors into four pillars: Science & Technology, Human Capital, Governance, and Economy. Each pillar is further divided into subpillars, such as R&D; laws, regulations and policies; workforce; and investment and financing. Analysts can use these pillars and subpillars to systematically consider the breadth of factors relevant to the needs of policymakers seeking information on our nation’s AI capabilities and capacity versus those of other nations. Factors Affecting AI Competitiveness Analysts can use the framework for different purposes and policymaker needs. For example, if U.S. policymakers express interest in helping U.S. companies export AI technologies, analysts can use…
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Artificial Intelligence: A Framework to Assess U.S. Competitiveness and Inform Policy Options
Source: US GAO Reports — US Government, Public Domain