Shaping the Future of Generative AI in Aged and Community Care: A Practitioners’ Perspective

We present a qualitative study that examines how aged and community care professionals conceptualise generative AI applications, with particular attention to issues of agency, ethics, and emergent practices and behaviours. There is a growing body of research describing individual AI applications, their effectiveness and ethical implications. However, multiple applications of AI could more radically distort service boundaries and change provider practices for collaborative human-AI teams. Little is known about practitioners’ desired future roles and values for human-AI implementations and possible service innovations. Changes driven by care providers, AI service providers and government policies will have significant implications for complex settings such as aged care and community care. Through seven focus groups employing multiple qualitative methods, we identify coherence and gaps between theoretical and practitioner perspectives on the uses and implications of generative AI. Our findings suggest an urgent need for education and research to bridge theory and practical understanding of generative AI in aged and community care settings and policies to ensure marginalised groups are not locked out of future care services and models.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.587
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Shaping the Future of Generative AI in Aged and Community Care: A Practitioners’ Perspective

Sonja Pedell, Gareth Priday, LEON S. STERLING, Anne Livingstone
Procedia Computer Science
Ethics and Social Impacts of AI
article

Shaping the Future of Generative AI in Aged and Community Care: A Practitioners’ Perspective

Sonja Pedell, Gareth Priday, LEON S. STERLING, Anne Livingstone
article en

Abstract

We present a qualitative study that examines how aged and community care professionals conceptualise generative AI applications, with particular attention to issues of agency, ethics, and emergent practices and behaviours. There is a growing body of research describing individual AI applications, their effectiveness and ethical implications. However, multiple applications of AI could more radically distort service boundaries and change provider practices for collaborative human-AI teams. Little is known about practitioners’ desired future roles and values for human-AI implementations and possible service innovations. Changes driven by care providers, AI service providers and government policies will have significant implications for complex settings such as aged care and community care. Through seven focus groups employing multiple qualitative methods, we identify coherence and gaps between theoretical and practitioner perspectives on the uses and implications of generative AI. Our findings suggest an urgent need for education and research to bridge theory and practical understanding of generative AI in aged and community care settings and policies to ensure marginalised groups are not locked out of future care services and models.

Procedia Computer ScienceVol. 270
Racing Victoria (AU), Swinburne University of Technology (AU)
Openalex Percentile: Top 68%
Ethics and Social Impacts of AI
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Shaping the Future of Generative AI in Aged and Community Care: A Practitioners’ Perspective — Sonja Pedell, Gareth Priday, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS