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Xi'an Jiaotong-Liverpool University, China
Title:Negotiating Human-AI Complementarity in End-of-Life Care: A Grounded Theory Study of Nurses' Perspectives in Northeast China
Based on the functional and contextual applications, AI-assisted care agents can be categorized into the following types: service-oriented care agents, interaction-focused care agents, simulation-based care agents, and decision-support care agents. This study explores palliative care nurses’ perspectives on AI agent-assisted nursing through the lens of Actor-Network Theory, exploring how human and non-human actors negotiate technology integration in end-of-life care. Focusing on Northeast China, a region with less developed economy and structurally marginalized end-of-life care infrastructure in the context of mainland China, this study employs grounded theory to analyze qualitative interviews with 15 palliative care nurses, selected via purposive sampling. This study addresses: (1) potential collaboration and cultural clashes between AI agent’s procedural logic and relational care ethics of nurses, (2) ethical gray zones in AI-mediated intimate tasks (e.g., legacy messaging), and (3) how policy gaps in underdeveloped settings perpetuate AI inequities. This research proposes a human-AI complementarity framework where technology amplifies nurses’ emotional intelligence, creating collaborative care ecosystems grounded in mutual reinforcement. This study will propose a policy framework to mediate techno-ethical conflicts, particularly in regions with less developed economy and end-of-life care infrastructure. By centering frontline nurses’ agency, this research contributes to critical sociology of health technologies and equitable innovation in aging societies.
Chenyang Guo is a Research Fellow in HeXie Management Research Centre.She holds a PhD in Social & Policy Sciences from the Centre for Death & Society, University of Bath and a Bachelor of Law, University of Science & Technology Beijing. Her research interest is how to promote the development of palliative care and smart aging in mainland China, including exploring new models of palliative care and related social policies, the doctor-patient relationships in alternative medicine, and opportunities and challenges facing social work under the background of Neo-liberalism and the Artificial Intelligence Revolution.