A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies
This work addresses the challenge of regulating AI for policymakers, but it is incremental as it builds on existing reviews and frameworks without introducing new methods or data.
The authors tackled the problem of global AI regulatory chaos by reviewing diverse policy proposals and developing a framework to analyze their potential failures, aiming to help governing bodies manage this complexity.
Due to the cultural and governance differences of countries around the world, there currently exists a wide spectrum of AI regulation policy proposals that have created a chaos in the global AI regulatory space. Properly regulating AI technologies is extremely challenging, as it requires a delicate balance between legal restrictions and technological developments. In this article, we first present a comprehensive review of AI regulation proposals from different geographical locations and cultural backgrounds. Then, drawing from historical lessons, we develop a framework to facilitate a thorough analysis of AI regulation proposals. Finally, we perform a systematic analysis of these AI regulation proposals to understand how each proposal may fail. This study, containing historical lessons and analysis methods, aims to help governing bodies untangling the AI regulatory chaos through a divide-and-conquer manner.