The disruptive power of Artificial Intelligence. Ethical aspects of gerontechnology in elderly care.
• AI in elderly care promises to be predictive, personalized, preventive, participatory. • AI could also bring disruption of care processes and relationships. • Model to frame ethical risks is lacking. • 4d-model: risk of depersonalized, discriminatory, dehumanized, disciplining care. • Joint effort...
| Publicado en: | Archives of Gerontology & Geriatrics Vol. 91 |
|---|---|
| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Nov2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146361235&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146361235 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01674943 3HX jtl: Archives of Gerontology & Geriatrics issn: 01674943 maglogo: N pubinfo: dt: Nov2020 vid: 91 pid: 1004 pub: Elsevier B.V. artinfo: ui: 146361235 10.1016/j.archger.2020.104186 146361235 ppct: 1 formats: tig: atl: The disruptive power of Artificial Intelligence. Ethical aspects of gerontechnology in elderly care. aug: au: Rubeis, Giovanni affil: Institute of History and Ethics of Medicine, Heidelberg University, Im Neuenheimer Feld 327, 69120 Heidelberg, Germany sug: subj: Gerontologic Care Artificial Intelligence Utilization Artificial Intelligence Ethical Issues Technology Adverse Effects Dehumanization Depersonalization Interpersonal Relations Patient Centered Care Policy Making Collaboration ab: • AI in elderly care promises to be predictive, personalized, preventive, participatory. • AI could also bring disruption of care processes and relationships. • Model to frame ethical risks is lacking. • 4d-model: risk of depersonalized, discriminatory, dehumanized, disciplining care. • Joint effort of all stakeholders to prevent 4d-risks needed. Gerontechnology based on Artificial Intelligence (AI) is expected to fulfill the promise of the so-called 4p-medicine and enable a predictive, personalized, preventive, and participatory elderly care. Although empirical evidence shows positive health outcomes, commentators are concerned that AI-based gerontechnology could bring along the disruption of elderly care. A systematic conceptualization of these concerns is lacking. In this paper, such a conceptualization is suggested by analyzing the risks of AI in elderly care as "4d-risks": the depersonalization of care through algorithm-based standardization, the discrimination of minority groups through generalization, the dehumanization of the care relationship through automatization, and the disciplination of users through monitoring and surveillance. Based on the 4d-model, strategies for a patient-centered AI in elderly care are outlined. Whether AI-based gerontechnology will actualize the 4p-perspective or bring about the 4d-scenario depends on whether joint efforts of users, caregivers, care providers, engineers, and policy makers will be made. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|