社会保障评论

人工智能时代智慧养老服务具有“高便捷性”和“高风险性”的双重特性。加快对该领域社会风险维度框架、社会风险放大机制及分级干预策略的研究，对于增进老年人福祉和促进智慧养老产业国家战略发展具有重要意义。基于对全国18省份5120份典型样本的分析发现，当前智慧养老服务存在六大社会风险：技术安全风险、设备闲置风险、人机交互风险、心理情感风险、法规伦理风险和社会分化风险。其中，设备闲置风险等级非常高，法规伦理风险和心理情感风险较高，社会分化风险和技术安全风险为中等水平，人机交互风险较低。针对不同风险等级，本文提出分级干预思路，对风险等级标注五级分色标签，构建初级、中级和高级干预包的介入方案和措施，推动智慧养老服务“高品质”和“高安全”协同发展。

In the era of artificial intelligence, smart elderly care services possess the dual characteristics of high convenience and high risk. Accelerating research on the framework of social risks, amplification mechanisms, and tiered intervention strategies is of great significance for enhancing the well-being of older adults and advancing the national strategic development of the smart elderly care industry. Based on an analysis of 5,120 typical samples from 18 provinces across China,this study identifies six major categories of social risk in smart elderly care services: technical safety risks, equipment idleness risks, human–machine interaction risks, psychological and emotional risks,legal and ethical risks, and social stratification risks. Among these, equipment idleness presents a very high level of risk; legal and ethical risks, as well as psychological and emotional risks, are relatively high; social stratification risks and technical safety risks are moderate; and human–machine interaction risks are relatively low. In response to these varying risk levels, the study proposes a tiered intervention framework featuring five color-coded risk labels and corresponding intervention packages at the primary, intermediate, and advanced levels. These measures aim to foster the coordinated development of high-quality and high-safety smart elderly care services.