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.

中文翻译：

---

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） 在健康和医疗保健中的整合，尤其是针对老年人，显着推动了医疗保健服务的提供。人工智能技术具有自我学习和模式识别等功能，用于解决社会孤立问题和监控老年人的日常活动。然而，人工智能的快速发展往往没有考虑到老年人口的异质需求，这可能会加剧现有的数字鸿沟和不平等。本范围审查考察了老年人在健康和医疗保健文献中参与 AI 系统设计、实施和评估 AI 系统的情况，强调了他们对有益 AI 系统的意见的必要性。我们根据 PRISMA-SCR 进行了范围综述。我们回顾了 17 项研究，发现这些研究中有一半 （n = 8） 在设计阶段让老年人参与，少数 （n = 3） 在评估阶段参与，在实施阶段让老年人参与的研究更少 （n = 2）。尽管 AI 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需要包容性、参与式设计方法来应对道德和公平挑战，提高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及性、可用性和参与度具有实际好处。虽然 AI 有可能改善医疗保健服务，但这些方法必须成为确保合乎道德、包容和公平的 AI 实践的更广泛努力的一部分，尤其是在老年学领域。