"Ignoring It Is a Problem": Social Work Student Perspectives on the Opportunities and Threats of Artificial Intelligence for Practice and Education.
The increasing use of artificial intelligence (AI) in social work is enhancing teaching through innovative technologies and is already changing how we prepare students for the workforce. While AI offers significant potential to revolutionize social work practice and education, its integration requir...
| Publicado en: | Journal of Social Work Education Vol. 62; no. 1; pp. 110 - 124 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Winter2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192585164&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192585164 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10437797 SWE jtl: Journal of Social Work Education issn: 10437797 maglogo: Y pubinfo: dt: Winter2026 vid: 62 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 192585164 10.1080/10437797.2025.2602743 ppf: 110 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 380KB tig: atl: "Ignoring It Is a Problem": Social Work Student Perspectives on the Opportunities and Threats of Artificial Intelligence for Practice and Education. aug: au: Kapur, Ishita Cronley, Courtney Sharkey, Caroline N. su: United States Cross-sectional method Policy sciences Social workers Qualitative research Optimism Labor productivity Artificial intelligence Social services Interviewing Privacy Social work education Students Sound recordings Social work research Student attitudes Counseling Medical ethics Professional practice Medical case management Descriptive statistics Thematic analysis Telemedicine Simulation methods in education Research methodology sug: subj: Cross-sectional method Policy sciences Social workers Qualitative research Optimism Labor productivity Artificial intelligence Social services Interviewing Privacy Social work education Students Sound recordings Social work research Student attitudes Counseling Medical ethics United States Other Individual and Family Services Integrated Record Production/Distribution Sound recording merchant wholesalers Record Production All Other Miscellaneous Ambulatory Health Care Services All other ambulatory health care services Professional practice Medical case management Descriptive statistics Thematic analysis Telemedicine Simulation methods in education Research methodology ab: The increasing use of artificial intelligence (AI) in social work is enhancing teaching through innovative technologies and is already changing how we prepare students for the workforce. While AI offers significant potential to revolutionize social work practice and education, its integration requires careful attention to ethical considerations to ensure its responsible and equitable use. This study explores the role of AI in social work through structured interviews with 15 social work students, uncovering five key themes: the effect of AI on social work practice, policy, and research; its applications and utility in various settings; its role in enhancing efficiency; its integration into social work education; and its limitations within the field. The findings highlight students' optimism and curiosity about AI's potential to improve social work, while also holding some level of skepticism about the implications of AI algorithms for marginalized client groups. This study underscores the need for thoughtful adoption of AI technologies to support the welfare of vulnerable populations and advance social work education. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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