Relational Autonomy, Dementia, and AI-Based Care Robots: Ethical Aspects of Using Machines to Care for People with Dementia
This academic paper examines the ethical implications of using AI-based socially assistive care robots for individuals living with dementia, framed through the lens of relational autonomy. It evaluates how machine companions can support interaction, communication, and mobility while addressing the limitations of individualistic autonomy models. The author argues that care robots can act as valuable supportive tools in preserving and promoting the relational autonomy of patients in early-stage dementia.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, healthcare professionals, and AI developers seeking an ethical assessment of assistive robots in dementia care.
What the document contains
The article covers the intersection of AI-based care robots, dementia, and relational autonomy, addressing three specific dimensions: human-robot interaction, communication, and mobility.
The document does not provide a formal legal framework, regulatory enforcement mechanisms, or technical system specifications.
- Relational autonomy provides a more practical and realistic framework than individualistic concepts of freedom for evaluating the care of people with dementia.
- AI-based socially assistive robots can offer novel forms of interaction that help cognitively activate patients without triggering negative past memories.
- Care robots can alleviate the burden on human nursing staff by engaging in repetitive communication and providing steady, tireless responses.
- While care robots cannot perform heavy lifting or complex personal hygiene tasks alone, they can effectively encourage patient mobility and act as supportive mediators.
· Introduction · Dementia and Relational Autonomy · AI-Based Care Robots · Ethical Analysis - New Interaction and Cognitive Activation - Communication and Speech - Mobility and Technical Support · Final Considerations
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Transparency
2/5Openness about how AI systems work and are used
The decision-making process of AI systems, which is becoming increasingly difficult for experts to comprehend, is often described as a black-box.
Communication and Speech
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-24