Equity in AgeTech for Ageing Well in Technology-Driven Places: The Role of Social Determinants in Designing AI-based Assistive Technologies.
AgeTech involves the use of emerging technologies to support the health, well-being and independent living of older adults. In this paper we focus on how AgeTech based on artificial intelligence (AI) may better support older adults to remain in their own living environment for longer, provide social...
| Publicado en: | Science & Engineering Ethics Vol. 28; no. 6; pp. 1 - 16 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159988032&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159988032 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Dec2022 vid: 28 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 159988032 10.1007/s11948-022-00397-y ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P size: 846KB tig: atl: Equity in AgeTech for Ageing Well in Technology-Driven Places: The Role of Social Determinants in Designing AI-based Assistive Technologies. aug: au: Rubeis, Giovanni Fang, Mei Lang Sixsmith, Andrew affil: Department General Health Studies, Division Biomedical and Public Health Ethics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria School of Health Sciences, University of Dundee Nethergate, DD1 4HN, Dundee Scotland, UK Department of Gerontology, Simon Fraser University Vancouver Harbour Centre, British Columbia, Room, 2800, V6B 5K3, Vancouver, Canada sug: ab: AgeTech involves the use of emerging technologies to support the health, well-being and independent living of older adults. In this paper we focus on how AgeTech based on artificial intelligence (AI) may better support older adults to remain in their own living environment for longer, provide social connectedness, support wellbeing and mental health, and enable social participation. In order to assess and better understand the positive as well as negative outcomes of AI-based AgeTech, a critical analysis of ethical design, digital equity, and policy pathways is required. A crucial question is how AI-based AgeTech may drive practical, equitable, and inclusive multilevel solutions to support healthy, active ageing. In our paper, we aim to show that a focus on equity is key for AI-based AgeTech if it is to realize its full potential. We propose that equity should not just be an extra benefit or minimum requirement, but the explicit aim of designing AI-based health tech. This means that social determinants that affect the use of or access to these technologies have to be addressed. We will explore how complexity management as a crucial element of AI-based AgeTech may potentially create and exacerbate social inequities by marginalising or ignoring social determinants. We identify bias, standardization, and access as main ethical issues in this context and subsequently, make recommendations as to how inequities that stem form AI-based AgeTech can be addressed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2022. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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