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Earlier studies show that experiencing life as meaningful in old age promotes holistic wellbeing and health among older people. As more and more people are living with reduced capacities in their own homes, there is an urgent need to find new ways of promoting holistic wellbeing of the ageing population. Analysing data gathered from existential discussion groups on Service TV (STV), we show how strongly relationality and meaning in life are intertwined for older people. Our findings indicate that respect and support for the autonomy of older people is very important: in order to continue living at home, and prepare for a future with reduced capacities, they need family members for support. Autonomy of ageing becomes relational as choices and wishes are negotiated with family members. Relationships also contribute to loss of meaning. When older people felt that they were not close enough to their family, longed for friends of the same age, were bereaved or widowed, the relational gap caused a violation of meaning. In contrast, participation and activities with peers brought deep joy and connectedness to the lives of the participants. STV provided a new channel for participants to find and form meaningful relationships. Therefore, it is concluded that relationality can be supported by technological means of care. [ABSTRACT FROM AUTHOR]

• 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. [ABSTRACT FROM AUTHOR]