人工智能赋能城市社区养老服务：优势、困境与路径——基于SWOT分析

Artificial Intelligence Empowers Urban Community Elderly Care Services: Advantages, Dilemmas and Pathways—A SWOT Analysis-Based Study

摘要: 随着人口老龄化加剧与人工智能技术快速发展，AI赋能城市社区养老服务已成为重要探索方向。本文在系统梳理相关文献、政策文本与典型实践案例的基础上，采用SWOT分析法，重点围绕被动式健康监测技术与人机交互陪伴技术两类关键AI应用，评估其赋能城市社区养老服务的内部优势，包括个性化服务、健康监测、人力替代与产业带动；同时分析其内部劣势，即基础设施薄弱、数据安全风险、人才短缺及成本高企。在外部环境方面，本文识别出政策支持、需求释放与技术迭代所带来的机遇，以及伦理风险、数字鸿沟与监管滞后构成的外部威胁。进一步结合协同治理理论、技术接受理论与价值敏感性设计理念，本文提出SO、WO、ST、WT四类差异化发展路径，分别聚焦技术融合、政策完善、伦理治理以及资金保障等关键议题，为智慧养老实践提供战略参考。

Abstract: Amidst the accelerating aging of the population and the rapid advancement of artificial intelligence, AI-empowered urban community-based elderly care has emerged as a significant area of exploration. Based on a systematic review of relevant literature, policy documents, and typical practical cases, this paper adopts the SWOT analysis framework to evaluate two key types of AI applications—passive health monitoring technology and human-computer interaction companionship technology—in empowering urban community-based elderly care. It analyzes internal strengths, including personalized services, health monitoring, labor substitution, and industrial driving effects, as well as internal weaknesses, such as inadequate infrastructure, data security risks, talent shortages, and high costs. In terms of the external environment, the paper identifies opportunities brought by policy support, growing demand, and technological iteration, along with threats posed by ethical risks, the digital divide, and regulatory lag. Furthermore, by integrating collaborative governance theory, technology acceptance theory, and value-sensitive design principles, this paper proposes four differentiated development pathways—SO, WO, ST, and WT—focusing respectively on technological integration, policy improvement, ethical governance, and financial support, thereby offering strategic references for the development of smart elderly care practices.