Redefining human Go experts in the post-AI era: Perspectives from the sociology of professions and expertise

This article explores how the rise of Go AI systems has redefined the expertise and professional roles of human players in the Go community. Historically, professional Go players held jurisdiction over two key tasks: demonstrating ideal gameplay and interpreting games, which are all challenged by the arrival of Go AI since 2016. Drawing on Andrew Abbott's theory of jurisdiction and Gil Eyal's network model of expertise, this article argues that the integration of Go AI did not fully replace human Go experts, but reconfigured their role from knowledge authorities to interpreters of AI outcomes. The scope and content of Go professional's work have changed in response to Go AI's challenge. Meanwhile, the sociotechnical networks that sustain Go AI are selectively displayed to enable the performance of expertise regarding two tasks. The insights from Go community will serve as an early case for other realm where AI exceeds the capabilities of human experts.