The disruptive power of artificial intelligence: ethical aspects of gerontechnology in elderly care
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-base...
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| Main Author: | |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
15 July 2020
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| In: |
Archives of gerontology and geriatrics
Year: 2020, Volume: 91 |
| ISSN: | 1872-6976 |
| DOI: | 10.1016/j.archger.2020.104186 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.archger.2020.104186 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0167494320301801 
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| Author Notes: | Giovanni Rubeis |
| Summary: | 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. |
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| Item Description: | Gesehen am 18.11.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1872-6976 |
| DOI: | 10.1016/j.archger.2020.104186 |