Redefining human Go experts in the post-AI era
Perspectives from the sociology of professions and expertise
Dados Bibliográficos
| ID | 21214701 |
|---|---|
| Autores | Jiuheng He (0009-0007-9162-8387, Cornell University, autor correspondente) |
| Ano | 2026 |
| Volume | 13 |
| Fascículo | 2 |
| Data de publicação | 2026-06-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Big Data & Society (JOURNAL) |
| Identificadores do periódico | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/20539517261465667 |
| OpenAlex | W7166646660 |
| Idioma | EN |
| Referências citadas | 32 |
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
Actor–network theory · Goto · Ideal (ethics) · Jurisdiction · Realm · Scope (computer science) · Sociotechnical system · Digital Games and Media · Educational Games and Gamification · Ethics and Social Impacts of AI
The Rise of Professionalism
The System of Professions
Rethinking Expertise
To Engage or Not to Engage with AI for Critical Judgments
Mastering the game of Go with deep neural networks and tree search
The Game Is Not over Yet—Go in the Post-AlphaGo Era
The algorithm at work? Explanation and repair in the enactment of similarity in art data
Why artificial intelligence needs sociology of knowledge
From human-centered to social-centered artificial intelligence
Seeing without knowing
Is your accuser me, or is it the software?’ Ambiguity and contested expertise in probabilistic DNA profiling
Imaginaries of omniscience
Robo-Advice (RA)
It’s not a bug, it’s a feature
Critical Questions for Big Data
Critical data studies
Generative AI and the politics of visibility
Algorithms in practice
How the machine 'thinks
Big Data Surveillance
Professionalization and the Organization of Middle-Class Labour in Postindustrial Society
Technologies of Crime Prediction
For a Sociology of Expertise
Status and Status Strain in the Professions
High-frequency trading, spoofing and conflicting epistemic regimes
The ethnographer and the algorithm
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |