Future Intelligent Autonomous Robots, Ethical by Design Lessons Learned from Autonomous Cars Ethics
This academic conference paper proposes an "ethical by design" approach for intelligent autonomous robots by drawing lessons from autonomous car ethics. The authors outline a set of values and ethical principles, such as safety, transparency, accountability, and human control, and argue that these principles must be applied context-sensitively across different application domains. Furthermore, the paper advocates for the continuous development of ethical guidelines through interdisciplinary and multi-stakeholder assessment.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, developers, and practitioners in AI and robotics who want to understand how to incorporate ethical principles into the design of autonomous systems.
What the document contains
The paper covers the adaptation of ethical principles from autonomous vehicles to intelligent autonomous robots. It addresses the lifecycle approach of technology design and proposes specific ethical values and contextual assessments for different application domains.
The document lacks enforceable regulatory mandates, specific technical standards, or formal legal obligations, as it is an academic conference position paper.
- An "ethical by design" approach examines all stages of a technology lifecycle to ensure ethical justification and social sustainability.
- Ethical considerations identified in autonomous car ethics are broadly relevant to AI-powered robots.
- Proposed ethical principles for robots include safety, security, privacy, transparency, explainability, accountability, fairness, human control, well-being, autonomy and freedom, and sustainability.
- Robot ethics require domain-specific examinations depending on the application context, such as social care, industrial settings, or education.
- Ethical frameworks should be continuously developed through interdisciplinary teams using multi-criteria analysis.
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
2/5Clear responsibility for AI outcomes
we propose for robot applications a set of values and ethical principles including safety, security, privacy, transparency, and explainability, accountability
Abstract
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
we propose for robot applications a set of values and ethical principles including safety, security, privacy, transparency, and explainability, accountability, fairness
Abstract
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
fairness, human control, well-being, autonomy and freedom, and sustainability
Abstract
screening score · 2026-10-23
Privacy
2/5Protection of personal data and private life
we propose for robot applications a set of values and ethical principles including safety, security, privacy
Abstract
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
safety, security, privacy, transparency, and explainability
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
Thus, existing ethical frameworks need to be applied in a context-sensitive way, by assessments in interdisciplinary, multi-competent teams through multi-criteria analysis.
Abstract
screening score · 2026-10-23