Coverage discourse on synthetic intelligence (AI) in the USA is at an all-time excessive. The 117th Congress was essentially the most AI-focused congressional session in historical past with 130 AI payments proposed in 2021 in contrast with simply 1 in 2015. Given this excessive stage of curiosity from lawmakers, it’s a good second to take inventory of the accomplishments of U.S. AI coverage so far, in addition to areas the place there’s room for continued progress towards U.S. management on this area.
In the USA, there are three units of establishments which are primarily liable for initiating, importing, modifying, and diffusing AI: personal companies, publicly funded nationwide laboratories, and universities with funding from authorities, business, and donors. AI coverage refers back to the public means for nurturing the capabilities and actions of this AI ecosystem and optimizing its purposes within the service of nationwide targets and the general public good. When authorities establishments and insurance policies act correctly, AI innovation prospers. When authorities fails to behave or misfires, so too does AI innovation.
This report analyzes how the USA is performing throughout 9 of essentially the most distinguished insurance policies the U.S. authorities makes use of to help AI innovation and competitiveness. We break up these insurance policies into two teams. First are innovation insurance policies that straight spur AI innovation and competitiveness. These embody six forms of insurance policies that help AI analysis, strengthen the AI workforce, unfold AI tech hubs throughout the nation, facilitate entry to AI assets, promote authorities adoption of AI, and assist develop technical requirements for AI. Second are authorized and regulatory insurance policies that form the setting for AI innovation. These embody three forms of insurance policies that regulate using AI techniques, incentivize AI exercise via mental property (IP) rights, and help AI growth via worldwide commerce.
The next report card summarizes our findings for every coverage space and offers an achievement stage. To be failing expectations in a coverage space means the insurance policies in place—or lack thereof—are inflicting the USA to fall behind its opponents. To be approaching expectations means the insurance policies in place are solely partially or inconsistently bolstering U.S. AI innovation and competitiveness. To be assembly expectations means the insurance policies in place are protecting the nation on par with its opponents. And to be surpassing expectations means the insurance policies in place are correctly supporting U.S. AI management. Within the report, we offer detailed suggestions for a way U.S. policymakers can enhance.