EROS Ethical Robotic Systems. A Multi-level Framework for Integrating Ethics in Robotics and AI
This academic chapter proposes the EROS (Ethical Robotic Systems) framework to bridge abstract ethical guidelines with practical applications in robotics and artificial intelligence. Based on an empirical study utilizing Grounded Theory and Actor-Network Theory across 29 qualitative items, the research identifies a hybrid multi-level robot actor-network of individual, corporate, collective, and im-material actants. It provides actionable solutions for ethical engineering to help successfully integrate ethics in industrial robotics.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This is for researchers, engineers, and developers looking to understand how to integrate ethics practically into robotics and AI systems.
What the document contains
The document addresses the integration of ethics into industrial robotics and AI systems through a multi-level framework called EROS, examining actor-networks and responsibility distribution based on empirical qualitative research.
It does not provide specific legal compliance mandates, government regulatory enforcements, or binding administrative penalties for non-compliance.
- Robot and AI systems in industrial settings form a multi-level robot actor-network composed of individual, corporate, collective, and im-material actants.
- Current robot and AI ethics often lack reinforcement mechanisms and effective application-oriented tools.
- The proposed EROS framework bridges abstract normative codes with concrete actions from robotic and AI engineering.
- The findings are grounded in an empirical study of 29 qualitative items, including expert interviews, expert talks, and narrative interviews.
not stated
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
The trends of increasing intelligent automation and connectivity lead to transformations and challenges, especially in the realms of ethics and responsibility.
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
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