Metrics
7 Record Views
Journal article
Preserving the Integrity of Evidence-Based Social Work in the Age of AI: A Proposed Ethical Framework
Journal of evidence-based social work (2019), Vol.online ahead of print
11/22/2025
PMID: 41273233
Web of Science ID: WOS:001621131400001
Abstract
The purpose of this introductory article is three-fold: (1) to share with the reader the inspiration for the present special issue; (2) to describe for the reader the array of articles published in this special issue and the organizing logic; and (3) to offer for the readers’ consideration a proposed conceptual framework for understanding the ethical role of Artificial Intelligence in the social work profession. In 2024, David Edmonds and a team of leading philosophers published AI Morality. Edmonds identified six emergent themes based on the authored chapters: autonomy; bias; responsibility; privacy and transparency; meaning; and, values and morals. We explore these six themes as a viable complement to the Belmont Report and the National Association of Social Workers (NASW) Code of Ethics for understanding categorical ethical concerns related to the use of AI in social work research, and in this way, evidence-based social work practice and broader society. We thematically grouped the corresponding relationships and used these groupings as an organizing framework: (1) autonomy, power/oppression, and informed consent; (2) bias, discrimination, and social justice; (3) responsibility, harm, and competence; (4) privacy, confidentiality, and transparency; (5) meaning, service, and social need; and, (6) values, morality, and ethical alignment. We identify ethical concerns across these six categories and make respective recommendations before offering final thoughts.
Related links
Details
- Title
- Preserving the Integrity of Evidence-Based Social Work in the Age of AI
- Publication Details
- Journal of evidence-based social work (2019), Vol.online ahead of print
- Resource Type
- Journal article
- Publisher
- Routledge
- Number of pages
- 20
- Grant note
- Taighde ireann - Research Ireland: 18/CRT/6222
This work was supported by the Taighde Eireann - Research Ireland under grant number 18/CRT/6222.
- Copyright
- © 2025 Taylor & Francis Group, LLC
- Identifiers
- WOS:001621131400001; 99381552488506600
- Academic Unit
- Social Work; Usha Kundu, MD College of Health
- Language
- English