National Policy Frameworks for AI in Leading States
Abstract
This research explores how leading nations have structured their national artificial intelligence (AI) policy frameworks. With a focus on understanding the design and organization of these frameworks, the study takes a qualitative, doctrinal approach through document analysis. The objective is to highlight the unique structural aspects of AI policies, distinguishing this study from previous works that primarily focused on comparative analyses or outcomes. By systematically documenting and describing the various national strategies, the research aims to provide a deeper understanding of AI governance mechanisms. It offers a foundation for future studies on policy effectiveness and comparative analyses. The findings shed light on the diverse approaches used by countries to manage AI development, providing valuable insights into how AI governance is evolving globally. This research contributes to the ongoing dialogue on national AI strategies and their potential impacts on future technological advancements and regulations.