Navigating the AI Ascendancy: Evaluating U.S. Policies in the Sino–American AI Race
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As China’s ascendancy in Artificial Intelligence (AI) potentially surpasses that of the United States in specific dimensions, this research article critically assesses the existing and proposed AI policies of the United States, incorporating recommendations from the U.S. National Security Commission on AI (NSCAI). The research uses dual-scoring metrics based on the NSCAI-proposed AI stack and an original stakeholder metric to provide quantifiable variables to assess the potential impact of a policy, capturing feasible policy proposals. This analysis creates a practical tool for policy analysts and researchers to evaluate AI policies, which includes a tiered policy structure based on overall scores from the dualscoring metrics. Given the significance of AI in future national development, our model aims to aid policymakers in discerning the merit and feasibility of specific AI policies, thereby facilitating informed policymaking and development.
Abstract
As China’s ascendancy in Artificial Intelligence (AI) potentially surpasses that of the United States in specific dimensions, this research article critically assesses the existing and proposed AI policies of the United States, incorporating recommendations from the U.S. National Security Commission on AI (NSCAI). The research uses dual-scoring metrics based on the NSCAI-proposed AI stack and an original stakeholder metric to provide quantifiable variables to assess the potential impact of a policy, capturing feasible policy proposals. This analysis creates a practical tool for policy analysts and researchers to evaluate AI policies, which includes a tiered policy structure based on overall scores from the dualscoring metrics. Given the significance of AI in future national development, our model aims to aid policymakers in discerning the merit and feasibility of specific AI policies, thereby facilitating informed policymaking and development.
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