The Promises and Perils of AI for Sociology
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.
Metadata is indexed. Open-access discovery has not completed for this record yet.
No local PDF is available.
GROBID Extracted text; discontinued.
This text is generated from TEI extraction for accessibility, search, and TTS. Formulas, tables, figures, page layout, and references may not perfectly match the original PDF.
No accessible text representation is available. The text extraction service has been discontinued for the time being. If you require this service, for accessibility or any other reason, please submit an issue/request on this page.
Metadata
Issues
No public issues have been filed for this DOI.
Submit an issue
Record history
| When | Event | Field | Old | New |
|---|---|---|---|---|
| 2026-06-18 19:37:53.011249+00:00 | identifier_assigned | DSEID | DSEID-001-9535161 |