Engagement of Older Adults in the Design, Implementation and Evaluation of Artificial Intelligence Systems for Aging: A Scoping Review

Hannah Cho, Oonjee Oh, Nancy Greene, Larissa Gordon, Sherry Morgan, Lisa Walke, George Demiris
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Abstract

Integration of artificial intelligence (AI) in health and healthcare, especially for older adults, has significantly advanced healthcare delivery. AI technologies, with capabilities such as self-learning and pattern recognition, are employed to address social isolation and monitor older adults' daily activities. However, rapid AI development often fails to consider the heterogeneous needs of older populations, which could exacerbate an existing digital divide and inequality. This scoping review examines older adults’ involvement in AI system design, implementation, and evaluation of AI systems in health and healthcare literature, emphasizing the necessity of their input for beneficial AI systems. We conducted a scoping review according to PRISMA-SCR. We reviewed 17 studies, finding that half of these studies (n = 8) engaged older adults during the design phase, a small number (n = 3) during the evaluation stage, and even fewer (n = 2) involved older adults in the implementation stage. Despite AI’s growing role, design processes often overlook older adults’ needs. Our findings emphasize the need for inclusive, participatory design approaches to address ethical and equity challenges, enhancing user engagement and relevance. We also highlight how these approaches address the needs of older adults and improve outcomes. Specifically, we integrated evidence showing the practical benefits of these approaches for better accessibility, usability, and engagement among older adults. While AI has potential to improve healthcare delivery, these approaches must be part of broader efforts to ensure ethical, inclusive, and equitable AI practices, especially in gerontology.
老年人参与老龄化人工智能系统的设计、实施和评估:范围审查
人工智能(AI)在健康和医疗保健领域的整合,特别是对老年人而言,大大提高了医疗保健服务的水平。具有自我学习和模式识别等能力的人工智能技术被用来解决社会孤立问题,并监测老年人的日常活动。然而,人工智能的快速发展往往没有考虑到老年人口的多样化需求,这可能会加剧现有的数字鸿沟和不平等。这一范围审查审查了老年人在健康和医疗保健文献中参与人工智能系统设计、实施和人工智能系统评估的情况,强调了他们对有益的人工智能系统投入的必要性。我们根据PRISMA-SCR进行了范围审查。我们回顾了17项研究,发现这些研究中有一半(n = 8)在设计阶段涉及老年人,少数(n = 3)在评估阶段涉及老年人,更少(n = 2)在实施阶段涉及老年人。尽管人工智能的作用越来越大,但设计过程往往忽视了老年人的需求。我们的研究结果强调了包容性、参与性设计方法的必要性,以应对道德和公平挑战,增强用户参与度和相关性。我们还强调了这些方法如何满足老年人的需求并改善结果。具体来说,我们整合了证据,表明这些方法对老年人更好的可访问性、可用性和参与度有实际好处。虽然人工智能有潜力改善医疗保健服务,但这些方法必须成为更广泛努力的一部分,以确保人工智能实践的道德、包容和公平,特别是在老年学中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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