Description
Abstract: 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 ampli es nurses’ emotional intelligence, creating collaborative care ecosystems grounded in mutual reinforcement. This study will propose a policy framework to mediate techno-ethical con icts, 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.| Period | 18 Aug 2025 |
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| Held at | Sciinov Group |
| Degree of Recognition | International |