摘 要:
为系统梳理人工智能在社会工作领域中的应用场景、伦理风险及融合路径,本文采用范围综述方法,检索与分析Web of Science、Science Direct、中国知网等数据库中的相关文献。研究发现,人工智能在社会工作教育与实务领域展现了显著的赋能潜力。与此同时,人工智能技术的应用对社会工作相关主体(教师、学生、社工与服务对象)带来了数据隐私泄漏、算法偏见、批判性思维退化及人际关系弱化等潜在的伦理风险。为回应上述挑战,现有研究发展出了不同的融合框架与建议,其共同要素可归纳为伦理价值与权利保障、核心能力与素养发展、社区参与与赋权、技术整合与批判应用、政策融合与组织支持5个维度。本文旨在为该领域从理论探讨迈向实证检验提供整合性参考,并呼吁未来研究应加强循证研究以推动实质性融合。
关键词:人工智能;社会工作;赋能图景;伦理风险;融合框架;范围综述
Abstract:
To systematically systematize the application scenarios,ethical risks,and integration pathways of artificial intelligence (AI) in the field of social work,this study employs a scoping review method to retrieve and analyze relevant literature from databases including Web of Science,Science Direct,and CNKI. The findings indicate that AI exhibits significant empowering potential in both the education and practice of social work. The findings reveal that the empowering effects of AI are primarily manifested in two domains of education and practice,demonstrating significant potential. At the same time,the application of this technology poses ethical risks such as data privacy breaches,algorithmic bias,the erosion of critical thinking,and the weakening of interpersonal relationships. These risks exhibit distinct characteristics across different stakeholders,including students,educators,social workers,and clients. To address these challenges,existing research has proposed multiple integrative frameworks,which can be summarized into five dimensions: ethical values and rights protection; core competencies and literacy development; community participation and empowerment; technology integration and critical application; and policy integration and organizational support. This paper aims to provide an integrative reference for transitioning this field from theoretical exploration to empirical testing and calls for strengthening evidence-based research to promote substantive integration.
Keywords: Artificial intelligence; Social work; Scoping review; Ethical risks; Empowerment landscape; Integrative frameworks
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