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Relational Meanings of AI in Disability Care: An Intersectional, Arts-Based Inquiry
Karen Soldatic1, Rohini Balram2, Mikyung Lee1
1Canada Excellence Research Chair - Health Equity and Community Wellbeing, School of Disability Studies, Toronto Metropolitan University, Toronto, ON, Canada.
Qualitative Health Research
|December 13, 2025
Summary
Care providers view artificial intelligence (AI) as relational and emotionally complex, influenced by personal identities and media. Their perspectives blend fears of job loss with hopes for improved accessibility in AI integration.
Area of Science:
- Health Services Research
- Sociology of Technology
- Disability Studies
Background:
- Artificial intelligence (AI) integration in care systems is growing, but understanding provider perceptions, especially for diverse populations, is limited.
- Care providers' views on AI are crucial for effective implementation, particularly when supporting culturally and linguistically diverse migrants with disabilities.
Purpose of the Study:
- To explore how care service providers perceive and make sense of artificial intelligence (AI) in their practice.
- To examine how social identities, professional experiences, and media narratives shape these perceptions.
- To understand the implications for AI design and implementation in care settings.
Main Methods:
- An intersectionality-informed, arts-based research approach was employed.
- Data were collected through participatory workshops with 15 care providers.
- A one-act play was created from workshop data to illustrate participants' engagement with AI.
Main Results:
- Care providers perceive AI as a relational, emotionally charged, and socially situated phenomenon.
- Perceptions were shaped by intersecting experiences of racialization, migration, gender, labor precarity, and media portrayals.
- Participants expressed a mix of fear (job security, loss of relational care) and optimism (enhanced accessibility, reduced error).
Conclusions:
- Arts-based methods effectively capture the embodied and affective dimensions of AI understanding in care.
- Inclusive and reflective spaces are essential for meaningful engagement with AI technologies by care providers.
- Intersectionality must guide the design, governance, and implementation of AI in care to ensure equity and effectiveness.
Keywords:
AIarts-based researchculturally and linguistically diverse communitiesdisability careintersectionalityMore Related Videos
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