Ethical Decision-Making for Social Robots in Elderly Care Scenario: A Computational Approach
This research paper presents a computational approach using supervised machine learning algorithms to address ethical considerations in robot-assisted fetching tasks for elderly care. It develops an ethical framework using a greet or beat approach, validated through a pilot study with thirty caregiving participants. The findings demonstrate the feasibility of automating ethical decision-making for social robots to promote the well-being and ethical treatment of older individuals.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and developers in roboethics and assistive technology looking for computational approaches to ethical decision-making in elderly care.
What the document contains
The paper covers ethical considerations in robot-assisted tasks for elderly care, a computational framework using machine learning algorithms to evaluate fetching scenarios, and a pilot study assessing caregiver decision-making.
The text does not provide binding regulatory requirements, legal enforcement mechanisms, or formal compliance standards.
- Integrating social robots in elderly care requires robust ethical decision-making frameworks.
- A computational approach using supervised machine learning can effectively predict ethical choices in robot-assisted fetching tasks.
- A pilot study with thirty experienced caregivers revealed diverse ethical perspectives on assistive care scenarios.
- Automating ethical decision-making helps support responsible deployment and promotes the well-being of elderly individuals.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-24
Human Dignity
3/5Respect for the inherent worth of persons
ultimately promoting the well-being and ethical treatment of elderly individuals
Abstract
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
Abstract
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Abstract
screening score · 2026-10-24