Document Type

Article

Keywords

Social work, Artificial intelligence, AI, Data, Human rights, Triple mandate

Disciplines

Other Computer Engineering | Social Justice | Social Work

Abstract

Social work, as a human rights–based profession, is globally recognized as a profession committed to enhancing human well-being and helping meet the basic needs of all people, with a particular focus on those who are marginalized vulner- able, oppressed, or living in poverty. Artificial intelligence (AI), a sub-discipline of computer science, focuses on develop- ing computers with decision-making capacity. The impacts of these two disciplines on each other and the ecosystems that social work is most concerned with have considerable unrealized potential. This systematic review aims to map the research landscape of social work AI scholarship. The authors analyzed the contents of 67 articles and used a qualitative analytic approach to code the literature, exploring how social work researchers investigate AI. We identified themes consistent with Staub-Bernasconi’s triple mandate, covering profession level, social agency (organizations), and clients. The literature has a striking gap or lack of empirical research about AI implementations or using AI strategies as a research method. We present the emergent themes (possibilities and risks) from the analysis as well as recommendations for future social work researchers. We propose an integrated model of Artificial Intelligence Enhanced Social Work (or “Artificial Social Work”), which proposes a marriage of social work practice and artificial intelligence tools. This model is based on our findings and informed by the triple mandate and the human rights framework.

Publication Title

Journal of Human Rights in Social Work

Article Number

https://doi.org/10.1007/s41134-024-00326-y

Publication Date

2024

Language

English

Peer Reviewed

1

Version

Published

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Download

Share

COinS