According to NCSL, there is significant variation in how different U.S. states define artificial intelligence (AI) and related terms in their legislation. This diversity reflects the unique legal, economic, and social contexts within each state, influencing how AI is regulated and implemented. Some states have developed comprehensive definitions that encompass a wide range of AI applications and technologies, while others have more narrow definitions focused on specific aspects of AI, such as machine learning or automation. The article highlights examples of state-level AI definitions, illustrating how these definitions can impact regulatory approaches and policy decisions. It also discusses the challenges of creating consistent and effective AI regulations when definitions vary widely across jurisdictions. The lack of a standardized national definition for AI complicates efforts to develop cohesive policies and can lead to disparities in how AI technologies are governed across the country. The report underscores the importance of collaboration between states and the federal government to harmonize AI definitions and regulations, ensuring that they address key concerns such as data privacy, ethical use, and the promotion of innovation. As AI continues to evolve, establishing clear and consistent definitions will be crucial for fostering responsible development and deployment of AI technologies across the U.S.