Year: 2025
Type: article
Abstract: This article argues that in an age of artificial intelligence (AI), sociologists have not adequately thought about the challenges posed to their work and pedagogy. Drawing on examples from Hong Kong, we foreground the challenges that AI poses to sociological education, student success and working conditions, amid the marketization of higher education and broad shifts in funding toward STEM disciplines. We then suggest four tactical strategies for sociology to respond and live with AI: (1) incorporating computational training into sociological education; (2) incorporating AI into instrument design for sociological research; (3) incorporating AI into models of inference; and (4) incorporating AI into classroom and campus design. We contend that, in doing so, we may rethink the repertoires of professional sociology with new frontiers for AI applications and modalities of student education.
Source: Sociology
Institutions: Hong Kong Polytechnic University, University of Hong Kong
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4412636976