Skip to content
Review Open access

When social work meets AI: a philosophical look at adoption, context, and critical resistance

Aug 2026 · AI & SOCIETY · 0 citations · 22 references

TL;DR

It is argued that social work requires a more nuanced, philosophically informed engagement with AI, one that recognises technology as neither neutral nor inevitable, but as socially shaped, value-laden, and co-constitutive of practice.

Abstract

Artificial intelligence (AI) is increasingly permeating social work, attracting both enthusiasm for its potential benefits and concern regarding its ethical, relational, and professional implications. Whilst prevalent discourse has often positioned social workers along a binary spectrum of either optimism or scepticism, such framing risks oversimplifying the complex sociotechnical dynamics at play. This article argues that social work requires a more nuanced, philosophically informed engagement with AI, one that recognises technology as neither neutral nor inevitable, but as socially shaped, value-laden, and co-constitutive of practice. Drawing on perspectives from the philosophy of technology, the paper examines how AI mediates professional judgement, decision-making, and the relational foundations of practice via a narrative review of social work literature. It interrogates the claim that AI can depoliticise or objectify social work by obscuring the normative choices embedded within technology design and deployment. Rather than adopting a deterministic stance, the article advocates for a critical, reflexive approach that centres professional values, care ethics, and the lived experience of service users. Opportunities for AI to enhance practice, such as through administrative support, predictive insights, and improved access to services, are considered alongside challenges related to power, accountability, data ethics, and the risk of amplifying social inequalities. The paper concludes by outlining implications for education, research, and practice, emphasising the need for social workers to actively shape the development and governance of AI in ways that uphold social justice, human dignity, and the core purpose of the profession.

Read PDF

Similar papers

Open access Aug 2026

Narratives of Power: AI, Agency and the EU AI Act

Within EU governing body texts, the same discursive patterns that map agency and erase the middle ground of debate in AI are found, helping to marginalise alternative perspectives from other stakeholders and prevent nuanced understandings of potential harms.

Bríd-Áine Parnell · 0 citations
Open access Jul 2026

SOCIAL AND ETHICAL IMPLICATIONS OF FULLY AUTONOMOUS AI

This research raises broad questions regarding social and tech ethics in the Age of AI by asking what happens if AI systems acquire full autonomy as economic actors within a late capitalist economy, specifically as workers, capitalists, and consumers. Through a careful engagement with recent Marxian social theory and the speculative literature on “full automation,” the article builds a case that the analytical lens of labor displacement needs to be enlarged to encompass the displacement of capitalists and consumers as well as workers. We propose to rethink social and tech ethics from the standpoint of a renewed attention to the constitutions of these economic actors within the capitalist system. Such a rethinking can cast new light on what it means for AI systems to be designed and deployed more ethically within the contemporary global capitalist system. It further underlines the urgency of a cross-disciplinary dialogue between social theorists and the engineers, managers, and regulators who are shaping the trajectory of such systems and, accordingly, the prospects for ethical social and economic outcomes.

J. Schulz, Laura Robinson, Katia Moles · 0 citations
Jul 2026

Toward a coalescent ethics of enactive AI: a synthetic analysis across frameworks of gender, agency, and AI design

A coalescent ethics of AI design is developed by bringing three converging bodies of scholarship into productive dialogue: the coalescent agency framework’s functional criteria for preserving human agency in human-AI systems; the enactive artificial intelligence model’s intersectional and gender-inclusive design prescriptions; and recent empirical findings on how Gen Z users in China construct gendered meanings in their interactions with generative AI.

S. Torres-Martínez · 0 citations
Review Open access Aug 2026

Negotiating epistemic authority in the age of generative AI: AI reliance, responsibility, and usage intensity among GenAI-using coaching professionals

The findings reveal that coaches report using GenAI extensively for structured, information-intensive tasks while maintaining control over relational and interpretative work, which can be understood as boundary work preserving human authority over domains of tacit expertise.

Jennifer Haase · 0 citations
Open access Jul 2026

ARTIFICIAL INTELLIGENCE AND THE FUTURE OF WORK: A HUMAN-CENTERED PERSPECTIVE FROM THE SOCIAL SCIENCES

This study examines the transformative impact of artificial intelligence (AI) on the future of work from a human-centered, interdisciplinary perspective, highlighting the necessity of interdisciplinary collaboration to ensure that AI not only enhances efficiency but also promotes justice, well-being, and sustainability.

Cumali Kılıç · 0 citations
Open access Aug 2026

The Great Wall of the Press: Layered Boundary Work of AI-Integrated Journalism

The study argues that AI intensifies journalistic boundary work because it challenges journalism not only operationally, but also epistemically and infrastructurally, and journalists engage in layered forms of boundary negotiation that operate across task, discursive, and structural dimensions.

Joanne Kuai, Michael Karlsson · 0 citations