社会杂志 ›› 2026, Vol. 46 ›› Issue (4): 98-135.

• 专题二:医疗与社会 • 上一篇    下一篇

人机共存的生成机制:以安宁疗护社会工作实践为例

何龙韬, 张晶*()   

  • 出版日期:2026-07-20 发布日期:2026-09-18
  • 通讯作者: 张晶
  • 作者简介:

    何龙韬  西南财经大学社会发展研究院

    HE Longtao, Institute for Social Development, Southwestern University of Finance and Economics

  • 基金资助:
    国家社会科学基金后期重点项目“人口老龄化背景下的临终关怀社会工作研究”(23FSHA002); 四川省哲学社会科学基金后期项目“构建中国安宁疗护社会工作实证与循证实践框架研究”(SCJJ23HO37); 西南财经大学中央高校基本科研业务费专项资金项目“中国传统文化融入老年人临终关怀社会工作本土路径研究”(JBK2406119)

The Construction of Human-AI Coexistence: Evidence from Palliative Care Social Work Practice

Longtao HE, Jing ZHANG*()   

  • Online:2026-07-20 Published:2026-09-18
  • Contact: Jing ZHANG
  • Supported by:
    the National Social Science Fund of China, Key Later-Stage Funded Project(23FSHA002); the Sichuan Philosophy and Social Sciences Foundation, Later-Stage Funded Project(SCJJ23HO37); the Fundamental Research Funds for the Central Universities, Southwestern University of Finance and Economics(JBK2406119)

摘要:

在人机共存日益成为数字时代社会实践重要特征的背景下,人工智能如何进入安宁疗护社会工作实践,并与人类形成稳定的照护关系,仍缺乏基于具体实践的社会学解释。基于某三甲医院人工智能赋能安宁疗护社会工作干预项目,本文在实践评估中嵌入质性研究,从互动关系、组织协作与伦理治理三个层面考察人工智能参与照护实践的生成过程。研究发现,人工智能在安宁疗护中的作用并非技术预设,而是在持续的情境磨合、情感互动与伦理协商中逐渐形成,并由此重构照护互动、情感劳动与责任边界。本文提出“动态适配—情感调节—伦理共构”分析框架,认为人机共存并非人与技术的简单协作,而是人工智能在具体照护实践中不断获得在场性、关系性与正当性的生成过程。

关键词: 人机共存, 人工智能, 安宁疗护, 社会工作, 数字化照护

Abstract:

Artificial intelligence is increasingly entering palliative care and social work, yet bringing technology into care does not necessarily mean that it becomes part of care. Existing studies have largely followed two lines of inquiry. One highlights the potential of AI to improve efficiency, prediction, and service delivery, while the other focuses on ethical concerns such as surveillance, algorithmic bias, and dehumanization. More recent work in Science and Technology Studies (STS) has moved beyond this opposition by treating AI as a socio-technical actor involved in human-technology relations. Even so, relatively little attention has been paid to how AI becomes embedded in everyday care practice and how human-AI coexistence is gradually produced through interaction, negotiation, and organizational adaptation, particularly in emotionally demanding and ethically sensitive settings such as palliative care.This article examines these questions through an AI-enabled palliative care social work intervention undertaken in a tertiary hospital in China. Rather than evaluating whether AI improves care outcomes, the study focuses on the practical processes through which AI is incorporated into care relationships. Qualitative inquiry was embedded within the intervention evaluation and drew on interviews with patients, family caregivers, social workers, healthcare professionals, and AI developers, together with participant observation, system interaction records, and field notes. This research design made it possible to follow AI as it moved through everyday practice and to examine how its role was continuously shaped by different actors.The findings suggest that AI does not enter care as a stable or predetermined technological actor. Instead, its place within palliative care is progressively established through ongoing adjustments to local contexts, emotional exchanges, and ethical deliberation. As AI is adapted to existing routines, communication styles, and professional practices, it gradually shifts from a digital tool to a participant in care relationships. At the same time, emotional support becomes reorganized rather than automated. AI helps sustain communication, encourages emotional expression, and extends opportunities for interaction, while social workers remain responsible for interpretation, relationship building, and professional judgement. Ethical responsibility also emerges as a negotiated accomplishment. Decisions about risk, intervention, and accountability continue to rely on professional deliberation, with AI functioning as a source of support rather than an autonomous decision-maker.Based on these empirical observations, the article develops a framework of adaptation—senti-modulation—co-governance framework to explain the making of human-AI coexistence in palliative care social work. The framework argues that coexistence should not be understood simply as collaboration between humans and technology. Rather, it is a socially situated process through which AI acquires presence, relational significance, and legitimacy in practice. By shifting attention from technological capability to the social conditions that make coexistence possible, this study contributes to sociological debates on digital care, extends STS discussions of human-AI relations, and offers an empirically grounded account of how AI is domesticated, negotiated, and governed within contemporary care practices.

Key words: human-AI coexistence, artificial intelligence, palliative care, social work, digital care