<p>In an era where concerns about social isolation, discord, and our planet are rife, the coverage that artificial intelligence (AI) is receiving within and beyond healthcare is unprecedented. Publicity about AI far outstrips most people's basic familiarity with the crises of loneliness, conflict, and planetary health. Indeed, many conversations about AI in care for older people and nursing research that I hear seem oblivious to principles of effective health technology evaluation. The inescapability of AI today drives me back to evaluating this technological domain, prompting contemplation of disadvantages as well as advantages, along with accessibility, cost, and unintended effects. As a gerontological nurse, I always frame analysis of any health technology within the multidimensional process of ageing and with consideration of the needs and preferences of older people. AI offers a notable case in point as we gerontological nurses contend with evaluating this technology that is taking the healthcare industry and the scientific world by a paradoxical electric storm.</p><p>Remember that AI represents a wide range of computerised functions and tools that are aimed at partially or completely replacing human actions. The word intelligence, however, is a misnomer. Machines are not intelligent. The allusion of intelligence comes with humans designing these tools in ways that mimic human function but can rarely even partially replace the higher-level aspects of our capacities. News coverage and social media posts constantly alert us to AI's manifold possibilities. Most excitement today about AI entails those tools that generate written or other content from data that already exist. As you might expect, this type of AI is called generative AI or GAI for short. Many of us are also aware of avid interest in integrating AI into robotics, especially for clinical applications that promote self-care among older people or extend nursing care for them. The AI domain is broad and diverse, garnering lots of enthusiasm but often spare critical analysis contextualised within our discipline.</p><p>Activities involving AI are increasingly common across gerontological nursing research, practice, and education. Within the domain of gerontechnology, for example, many gerontological nurses are investigating the effects of AI-driven interventions like wearable devices or chatbots and other apps on functional outcomes and quality of life metrics. In addition to studying AI in relation to older people, researchers across healthcare are now adopting AI in research data management and analysis. Computer-assisted qualitative data analysis software, for instance, now commonly features AI assistance, which promises to generate findings for investigators more quickly than they could do themselves. Clinical uses of AI are increasingly frequent, too. Many gerontological nurses and other clinicians are recommending smart devices and AI-powered apps to older people and their care par
在一个对社会隔离、不和谐和我们的星球感到担忧的时代,人工智能(AI)在医疗保健领域内外获得的报道是前所未有的。关于人工智能的宣传远远超过了大多数人对孤独、冲突和地球健康危机的基本熟悉。事实上,我听到的许多关于人工智能在老年人护理和护理研究中的讨论似乎都忽略了有效的健康技术评估原则。今天人工智能的不可避免性促使我重新评估这一技术领域,促使我思考缺点和优点,以及可访问性、成本和意想不到的影响。作为一名老年护士,我总是在老龄化的多维过程中分析任何健康技术,并考虑老年人的需求和偏好。人工智能提供了一个值得注意的例子,我们老年护士正在努力评估这项技术,这项技术正在以一场矛盾的风暴席卷医疗保健行业和科学界。请记住,人工智能代表了广泛的计算机化功能和工具,旨在部分或完全取代人类的行为。然而,“智力”这个词并不恰当。机器并不智能。智能的暗示来自于人类以模仿人类功能的方式设计这些工具,但几乎不能部分取代我们能力的高级方面。新闻报道和社交媒体帖子不断提醒我们人工智能的多种可能性。今天关于人工智能最令人兴奋的是那些从已有数据中生成书面或其他内容的工具。正如你所料,这种类型的AI被称为生成AI或简称GAI。我们中的许多人也意识到将人工智能融入机器人技术的强烈兴趣,特别是在促进老年人自我护理或延长护理的临床应用方面。人工智能领域是广泛而多样的,获得了许多热情,但通常在我们的学科背景下缺乏批判性分析。涉及人工智能的活动在老年护理研究、实践和教育中越来越普遍。例如,在老年科技领域,许多老年护士正在研究人工智能驱动的干预措施,如可穿戴设备、聊天机器人和其他应用程序,对功能结果和生活质量指标的影响。除了研究与老年人相关的人工智能之外,医疗保健领域的研究人员现在还在研究数据管理和分析中采用人工智能。例如,计算机辅助定性数据分析软件现在普遍采用人工智能辅助,这有望比调查人员自己更快地得出结论。人工智能的临床应用也越来越频繁。许多老年护士和其他临床医生向老年人及其护理伙伴推荐智能设备和人工智能应用程序。最后,人工智能在护理教育中非常明显,影响着未来老年护士的准备工作,从人工智能支持的作业编辑到人工智能增强的临床模拟。一场革命正在我们眼前发生吗?当我退出非专业和专业媒体的报道时,人工智能在老龄化、老年人和老年护理方面的几个方面给我留下了深刻印象。关键的是,人工智能这个术语中的智能错误地暗示了批判性评估和评估的能力。机器或算法无法执行这些操作。人工智能是一种工具,像所有工具一样,它有优势也有局限。如今,我们有了足够的资金和一些培训,我们有了一系列所谓的智能人工智能工具来进行测试。从计算机辅助定性研究数据管理和分析平台中的人工智能功能,到从头部智能眼镜到脚趾智能鞋的智能服装,选择似乎是无限的。所有这些工具都被吹捧为对老年人、护理和衰老研究有价值。但是,与所有工具一样,人工智能的成功使用依赖于对相关功能的理解,然后精确地部署这些工具。智慧是人类的;人工智能是所有人工智能工具所固有的。随着人工智能开始主导医疗保健和健康研究讨论,一个不同的故事值得我们关注。由于多种力量的作用,人类及其关系正处于巨大的压力之下。快速变化的生活方式、地理迁移、经济转变、人类冲突和地球危机,每一个都导致了我们作为老年护士和全球公民深切关注的现象。例如,人工智能一再被提供作为老年人感到孤独的解决方案,老年人的护理伙伴所经历的孤立和负担过重,以及护士和我们整个卫生和社会护理工作人员每天都要承受的过度工作。 很少有人考虑到人类与聊天机器人或其他人工智能物体之间互动的固有局限性。这些交互仅仅是人与机器之间的交互。在一个以人际关系为基础的学科中,当我们惊叹于人工智能应用的潜力时,认识到互动和情感上有意义的联系之间的区别似乎已经退居次要地位。和大多数物种一样,人类从根本上来说是社会性的。没有社会关系,我们就无法生存。许多工具,如旧的自动机(https://themadmuseum.co.uk/history-of-automata/)已经吸引和娱乐了人们几个世纪。一台能反映人类互动动作的机器对我们有着难以言喻的魅力。计算机技术和机器学习为今天的人工智能自动机增添了一层外衣,使其看起来比过去几个世纪更加引人入胜。尽管我们被迷住了,被娱乐了,但我们不能忘记,作为人类,我们寻求的是关系,而不仅仅是一系列的互动。至少到目前为止,人工智能生成的输出有一致且经常可预测的“告诉”,包括过度使用特定单词以及不一致的内容(Kobak et al. 2025)。这些“提示”提醒我们所缺少的东西。人际关系之所以令人愉快,是因为对方反应的不可预测性,以及参与者相互了解的回报。人类认识到其他人类和其他物种的这种品质。只要问问伴侣动物的主人——无论是狗、猫、兔子还是蛇——他们宠物的性格就行了。关于人工智能陪伴的研究已经开始探索与人工智能长期互动可能改变大脑功能的可能性(Kosmyna et al. 2025)。这样的研究提出了进一步的问题,即使用人工智能可能会如何改变我们的大脑健康和人际关系能力。举个例子,很少有护士在探索重复使用人工智能对认知的影响——例如,想象力和抽象思维能力的萎缩。作为老年护士,我们在认知、情感和相关能力方面具有独特的优势。到目前为止,还没有明确的证据,我们在理解上的差距仍然存在,这突显了我们有必要怀疑和反思人工智能在晚年健康生活和大脑健康中的作用。虽然人工智能卓越的可用性经常被吹捧,但其对环境的影响却备受争议。人工智能作为缓解气候危机的工具具有巨大的潜力。尽管如此,随着现有基础设施的不断增长,尤其是人工智能的使用,对水、电、稀有元素和矿物的比例高,以及由此产生的电子废物,构成了巨大的环境威胁(Bashir et al. 2024)。声称有权在研究或项目中使用人工智能来满足人类的需求,而没有从更大的角度看待环境,这只会避免解决我们与地球关系的微妙平衡。免除我们自己使用资源的努力,以及与导致气候危机的行业合作,只会使损害永久化,同时减少潜在的利益。我们审慎、负责地使用人工智能,并积极推动减轻对地球的损害,对于限制对地球和所有生命形式的损害至关重要。重要的是,我们老年护士需要考虑人工智能对我们领域内现象的存在意义。我在这篇文章的开头指出,我们生活在一个孤独、冲突和全球危机的时代。作为护士,我们必须有更广阔的视野。例如,我们可以思考,调查人工智能驱动的孤独感干预措施是否比与社区合作并在社区内将人们聚集在一起以改善健康和福祉提供了更可持续的解决方案。无论人工智能提供什么,它都只能是人类天性的附属物。像其他工具一样,人工智能可以支持我们的智力和人际关系。它不能取代它们。人们渴望与他人、其他生物(如伴侣动物)和大自然建立有意义的联系。对有助于促进社会联系、探索动物辅助疗法等现象的研究的兴趣,以及调查养宠物对健康的好处,以及与围绕人工智能的嗡嗡声相比,在大自然中度过时光所获得的收获,这些都应该引起我们所有人的关注。想象人工智能伴侣或聊天机器人将显著弥补老年人未被满足的社交需求,忽视了人际关系的重要性,事实上,这代表了令人震惊的健康主义思维。机器对重复互动和无判断反应的容忍度通常被认为对老年人,尤其是那些有认知障碍的人很有价值。喋喋不休的老人无法抗拒重复同样的故事的刻板印象,在促进聊天机器人的
{"title":"Gaining Perspective on Artificial Intelligence and Gerontological Nursing","authors":"Sarah H. Kagan","doi":"10.1111/opn.70046","DOIUrl":"https://doi.org/10.1111/opn.70046","url":null,"abstract":"<p>In an era where concerns about social isolation, discord, and our planet are rife, the coverage that artificial intelligence (AI) is receiving within and beyond healthcare is unprecedented. Publicity about AI far outstrips most people's basic familiarity with the crises of loneliness, conflict, and planetary health. Indeed, many conversations about AI in care for older people and nursing research that I hear seem oblivious to principles of effective health technology evaluation. The inescapability of AI today drives me back to evaluating this technological domain, prompting contemplation of disadvantages as well as advantages, along with accessibility, cost, and unintended effects. As a gerontological nurse, I always frame analysis of any health technology within the multidimensional process of ageing and with consideration of the needs and preferences of older people. AI offers a notable case in point as we gerontological nurses contend with evaluating this technology that is taking the healthcare industry and the scientific world by a paradoxical electric storm.</p><p>Remember that AI represents a wide range of computerised functions and tools that are aimed at partially or completely replacing human actions. The word intelligence, however, is a misnomer. Machines are not intelligent. The allusion of intelligence comes with humans designing these tools in ways that mimic human function but can rarely even partially replace the higher-level aspects of our capacities. News coverage and social media posts constantly alert us to AI's manifold possibilities. Most excitement today about AI entails those tools that generate written or other content from data that already exist. As you might expect, this type of AI is called generative AI or GAI for short. Many of us are also aware of avid interest in integrating AI into robotics, especially for clinical applications that promote self-care among older people or extend nursing care for them. The AI domain is broad and diverse, garnering lots of enthusiasm but often spare critical analysis contextualised within our discipline.</p><p>Activities involving AI are increasingly common across gerontological nursing research, practice, and education. Within the domain of gerontechnology, for example, many gerontological nurses are investigating the effects of AI-driven interventions like wearable devices or chatbots and other apps on functional outcomes and quality of life metrics. In addition to studying AI in relation to older people, researchers across healthcare are now adopting AI in research data management and analysis. Computer-assisted qualitative data analysis software, for instance, now commonly features AI assistance, which promises to generate findings for investigators more quickly than they could do themselves. Clinical uses of AI are increasingly frequent, too. Many gerontological nurses and other clinicians are recommending smart devices and AI-powered apps to older people and their care par","PeriodicalId":48651,"journal":{"name":"International Journal of Older People Nursing","volume":"20 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/opn.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}