The rapid development of data analytics, computational power, and machine/deep learning algorithms has driven artificial intelligence (AI) applications to every sphere of society, with significant economic, legal, ethical, and political ramifications. A growing body of literature has explored critical dimensions of AI governance, yet few touch upon issue areas that directly resonate with the diverse context and dynamics of the non-Western world, particularly Asia. This chapter therefore aims to fill the gap by offering a contextual discussion of how Asian jurisdictions perceive and respond to the challenges posed by AI, as well as how they interact with each other through regulatory cross-referencing, learning, and competition. Premised upon an analysis of the diverse regulatory approaches shaped by respective political, legal, and socioeconomic contexts in such jurisdictions, this chapter identifies how Inter-Asian Law has emerged in AI governance in the forms of regulatory cross-referencing, joint efforts, and cooperation through regional forums and points to potential venues for normative interactions, dialogue, best practices exchanges, and the co-development of AI governance.