Description
More than 60 countries have published national artificial intelligence policies since 2016, including over two dozen from the developing world. The creation of state agencies on AI and its diffusion though businesses and society have taken place without any ‘push’ or norm champions from international organizations. International relations theorizing often posits norm campions from the North for the adoption of science and other policies. This essay takes a socio-anthropological approach to explain AI technological diffusion in the developing world. Empirically, the paper employs big data mining, specifically LDA models from computer science, and process tracing methods to deepen understanding of AI diffusion in the developing world.
