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Record STMT-W00817DAdvisory

Autonomous and Intelligent Robots: Social, Legal and Ethical Issues

Position paper State lawGlobaladopted

This academic chapter discusses the advances, challenges, and current limitations of robotics and automation, contrasting industrial robots with service robots. It examines the social, legal, and ethical concerns raised by the integration of autonomous and intelligent robots into human society. Finally, it highlights the importance of frameworks for responsible robotics and trustworthy AI to guide future development.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

SpringerIndustry
Publisher
Legal forceAdvisory
Under whose authorityState law
Judged fromfull text

Who it governs

Researchers and academicsGeneral publicRegulatorsCompanies

Researchers, developers, policymakers, and the general public interested in understanding the societal impacts of autonomous and intelligent robots.

Sectors
Research and science · robotics and artificial intelligence researchCross-sector

What the document contains

What's covered

The document covers the technical evolution and distinctions between industrial and service robots, the rise of intelligent social robots, and the multifaceted ethical, social, and legal implications of their deployment in human society.

What's missing

The text does not provide binding legislation, specific regulatory enforcement mechanisms, or technical compliance standards.

Key takeaways
  • Autonomous robots differ from disembodied AI systems because they possess physical embodiment and interact directly with the physical world.
  • Service robots operate in unstructured environments and raise complex ethical, social, and legal issues that traditional industrial robots did not.
  • Integrating social competencies into robots allows for more natural interactions with humans in domains like healthcare and transportation.
  • The widespread adoption of robots poses workforce replacement challenges that require thoughtful public policies, retraining, and economic safeguards.
  • Assigning legal responsibility for autonomous robot actions remains difficult and requires balancing accountability between designers and the autonomy acquired through machine learning.
Principles it states
Human Agency and OversightTechnical Robustness and SafetyPrivacy and Data GovernanceTransparencyDiversity, Non-discrimination and FairnessEnvironmental and Societal Well-beingAccountability
Outline
1 Introduction
2 Industrial Robots and Automation vs Service Robots
3 Robots and Humans: The Rise of Intelligent and Social Robots
4 Ethical, Social and Legal Impacts
  4.1 Ethical Issues
  4.2 Social Issues
  4.3 Legal Issues
5 Conclusions
Issued2024
Length6,044 words · 14 pages
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

(7) Accountability-a clear accountability process and eco-system should be in place and followed by robot manufacturers, guaranteeing that when problems occur the process can be triggered.

4.1 Ethical Issues

screening score · 2026-10-24

Fairness

3/5

Non-discrimination and equitable treatment

(5) Diversity, Non-discrimination and Fairness- Robots should respect not discriminate nor cause discrimination, and guarantee fairness in their decisions;

4.1 Ethical Issues

screening score · 2026-10-24

Human Dignity

1/5

Respect for the inherent worth of persons

We believe that AI and its use in Robotics for creating intelligent and autonomous robots will be a driver for a societal change that will contribute for better, more human, more sustainable and healthier societies.

5 Conclusions

screening score · 2026-10-24

Privacy

3/5

Protection of personal data and private life

(3) Privacy and Data Governance-robots should follow the established privacy rules and data governance mechanisms;

4.1 Ethical Issues

screening score · 2026-10-24

Transparency

3/5

Openness about how AI systems work and are used

(4) Transparency-robots should be transparent when making decisions, and about their capabilities, making clear why certain decision is the appropriate;

4.1 Ethical Issues

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

4.3 Legal Issues

screening score · 2026-10-24

Impact Assessment

2/5

Required assessment of an AI system's risks/impacts before or during use

The proposed legal framework focuses on the specific utilisation of AI systems and associated risks, focusing primarily on guaranteeing trustworthiness in the process of creating and delivering intelligent systems.

4.3 Legal Issues

screening score · 2026-10-24

Topics

robotics artificial_intelligence ethics legal_liability automation