Abstract
Abstract How do countries narrate their values and priorities in artificial intelligence infrastructures in comparative national and global contexts? This paper analyzes the policies governing national and regional artificial intelligence infrastructures to advance an understanding of “entangled narratives” in global affairs. It does so by utilizing artificial intelligence techniques that assist with generalizability and model building without sacrificing granularity. In particular, the machine learning and natural language processing big data models used alongside some process-tracing demonstrate the ways artificial intelligence infrastructural plans diverge, cluster, and transform along several topical dimensions in comparative contexts. The paper's entangled narrative approach adds to international relations (IR) theorizing about infrastructural narratives and technological diffusion. We provide patterned and granular results at various levels, which challenge and refine existing theories that attribute differences in infrastructures and technological adoption to geopolitical competition and imitation, top-down or linear international diffusion effects, and differences in political systems.
Published Version
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