Towards Ethics in Robotic Cities
This research paper explores the integration of ethics in robotic cities by examining the intersection of the Internet of Robotic Things (IoRT), distributed artificial intelligence, and socio-technical systems. It highlights that urban infrastructure challenges are super-wicked problems that cannot be solved purely through numerical optimization or isolated laboratory tests. The authors propose a preliminary methodology combining Problem Structuring Methods (PSM), knowledge co-creation with stakeholders, and general system entropy measures to achieve ethical and stable autonomous urban environments.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, urban planners, and engineers should read this to understand the socio-technical and ethical challenges of modelling autonomous robotic cities.
What the document contains
The paper addresses the conceptualization of robotic cities through the Internet of Robotic Things (IoRT), categorizes city automation into a five-level standard, evaluates multi-disciplinary ethical frameworks for urban AI, and proposes a collaborative methodology utilizing Problem Structuring Methods and general system entropy.
The document does not provide statutory regulations, legally binding enforcement mechanisms, or concrete implementation toolkits for municipal governments.
- Future smart cities are increasingly acting as heterogeneous distributed robotic systems combining hard infrastructure and software bots.
- Urban sustainability and resilience challenges function as super-wicked problems that defy simple quantitative optimization.
- Ethics in robotic cities must span general ethics, engineering, data science, robotics, and artificial intelligence.
- A proposed methodology relies on Problem Structuring Methods (PSM) and knowledge co-creation with at least 20 percent of affected prosumers via digital platforms.
- General system entropy can serve as a measure of system stability and better guide AI-supported urban management.
· I. Introduction · II. Scope · III. Foundations · IV. What are Robotic Cities? · V. IoRT · VI. Ethics · VII. Discussion · VIII. Conclusion · IX. References
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
operational morality (moral responsibility lies entirely in the robot designer and user).
I. Introduction
screening score · 2026-10-24
Fairness
2/5Non-discrimination and equitable treatment
Racist robots: Such as eliminating AI biases.
VI. Ethics, F. Ethical issues in artificial intelligence
screening score · 2026-10-24
Human Dignity
2/5Respect for the inherent worth of persons
Ethics of data science will include, but not be limited to, privacy, human dignity, transparency, data-ownership
VI. Ethics, C. Ethics of Data Science
screening score · 2026-10-24
Human Oversight
2/5Humans remain in control of consequential decisions
Human monitoring and intervention may be needed in difficult situation but most of the city infrastructures are autonomous.
IV. What are Robotic Cities?, Table II
screening score · 2026-10-24
Privacy
2/5Protection of personal data and private life
Ethics of data science will include, but not be limited to, privacy, human dignity, transparency, data-ownership
VI. Ethics, C. Ethics of Data Science
screening score · 2026-10-24
Transparency
2/5Openness about how AI systems work and are used
Ethics of data science will include, but not be limited to, privacy, human dignity, transparency, data-ownership
VI. Ethics, C. Ethics of Data Science
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
2/5Required assessment of an AI system's risks/impacts before or during use
Future systems involving IoT and IoRT will include, not only hard elements, but also software, (such as bots) and social to soft system interactions, with many s t a k e h o l d e r s r e s u l t i n g i n ambiguity and unclear requirements.
Abstract
screening score · 2026-10-24