Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation

The field of AI governance is rapidly shifting from voluntary guidelines to binding regulation, leading to a complex and fragmented global legislative landscape. Issues include ambiguous definitions of 'AI regulation,' divergent frameworks that impede international collaboration, and unequal access to critical information, which increases the risk of regulatory capture. A new taxonomy is proposed to clarify the scope and substance of AI regulation, aiming to support democratic rights and enhance international alignment.

The rapid evolution and current fragmentation of global AI regulation pose significant challenges to international cooperation and the consistent application of democratic principles. Understanding and navigating this complex landscape is crucial for maintaining competitive advantage and ensuring responsible technological development worldwide, impacting various sectors dependent on AI innovation and deployment.

AI governance is transitioning rapidly from soft law, like national strategies and voluntary guidelines, to binding regulation.

Forward consideration, not a verified fact.