Sociology, School of Social Sciences, Faculty of Arts, Monash University, Clayton, VIC, Australia.
Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC, Australia.
J Appl Gerontol. 2023 Jun;42(6):1274-1282. doi: 10.1177/07334648231157370. Epub 2023 Feb 17.
This article explores views about older people and aging underpinning practices and perceptions of development and implementation of Artificial Intelligence (AI) in long-term care homes (LTC). Drawing on semi-structured interviews with seven AI developers, seven LTC staff, and four LTC advocates, we analyzed how AI technologies for later life are imagined, designed, deployed, and resisted. Using the concepts of "promissory discourse" and "aging anxieties", we investigated manifestations of ageism in accounts of AI applications in LTC. Despite positive intentions, both AI developers and LTC staff/advocates engaged in simplistic scripts about aging, care, and the technological capacity of older people. We further uncovered what we termed -a form that is not merely digital but rests on interacting pre-conceptions about the inability or lack of interest of older people to use emerging technologies coupled with social assumptions about aging, LTC, and technological innovation.
本文探讨了在长期护理院(LTC)中开发和实施人工智能(AI)的实践和观念背后关于老年人和老龄化的观点。本研究通过对七名 AI 开发人员、七名 LTC 工作人员和四名 LTC 拥护者的半结构化访谈,分析了用于晚年生活的 AI 技术是如何被想象、设计、部署和抵制的。我们使用“承诺话语”和“老龄化焦虑”的概念,研究了 AI 在 LTC 中的应用在描述中表现出的年龄歧视。尽管意图良好,但 AI 开发人员和 LTC 工作人员/拥护者都对老龄化、护理和老年人的技术能力进行了简单的描述。我们进一步揭示了我们称之为——一种不仅仅是数字形式,而是基于对老年人使用新兴技术的能力或兴趣缺乏的相互作用的先入之见,以及对老龄化、LTC 和技术创新的社会假设。