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Extending the standards: AI, global sociology, and North-South collaboration
Fanqi Zeng1,2,3
1Department of Sociology, University of Oxford, Oxford, UK.
Summary
This comment endorses sociological standards and proposes global South collaboration to address AI
Area of Science:
- Sociology
- Global Knowledge Production
- Artificial Intelligence Ethics
Background:
- Aksoy et al. (2026) proposed three standards for sociology: theory-empirics integration, open science, and responsible political engagement.
- The discipline faces challenges from the uneven global distribution of sociological knowledge.
- The increasing influence of artificial intelligence (AI) presents both opportunities and disruptions.
Purpose of the Study:
- To endorse the proposed sociological standards.
- To argue for a broader framework to address global knowledge disparities and AI's impact.
- To propose reciprocal collaboration with researchers in the Global South.
Main Methods:
- Commentary and theoretical argument.
- Analysis of global knowledge production patterns.
- Assessment of artificial intelligence's disciplinary reach.
Main Results:
- Endorsement of the proposed sociological standards.
- Identification of uneven global knowledge geography and AI's disciplinary reach as key issues.
- Proposal of reciprocal collaboration with the Global South as a solution.
Conclusions:
- Reciprocal collaboration with Global South researchers offers a unified approach to mitigate AI disruption.
- This collaboration can correct empirical deficits and reduce methodological gaps in sociology.
- The proposed collaboration extends, rather than dilutes, the core sociological standards.
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