Active Inference for Ethical Decision-Making in Socially Assistive Robotics
This research article explores the ethical aspects of decision-making in socially assistive robotics and discusses the model of active inference within this context. It examines the technical implementation of decision-making models to address trust and justification in human-robot interactions. Ultimately, the paper considers whether active inference can serve as a viable framework for implementing ethically sound decision-making processes in socially assistive robotics.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and developers interested in the ethics and technical implementation of decision-making in robotics should read this paper.
What the document contains
The text covers the intersection of active inference models and ethical decision-making within socially assistive robotics, focusing on explainable AI and technical implementation.
The document does not provide formal legal guidelines, binding regulatory frameworks, or enforceable compliance standards for AI deployment.
- The paper addresses the ethical dimensions of decision-making in socially assistive robotics.
- It focuses on the technical implementation of decision-making as an important aspect of robot ethics.
- Active inference is presented as a promising model for implementing explainable artificial intelligence in complex human-robot interactions.
- The contribution evaluates whether active inference can support ethically sound decision-making processes in socially assistive robots.
· Introduction to decision-making for socially assistive robotics · Discussion of relevant ethical implications · Presentation of the active inference model for decision-making and its applications in robotics · Evaluation of active inference as a model for ethically sound decision-making processes
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 · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
Models of AIF recently have been considered attractive for implementing explainable artificial intelligence for DM
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
2/5Required assessment of an AI system's risks/impacts before or during use
This contribution tries to provide an encompassing account of the ethical implications of DM for SAR, by focusing on the often overlooked issue of the ethics of technical implementation.
Abstract
screening score · 2026-10-23