Record STMT-W51E878Advisory

Ethical Algorithms in Human-Robot-Interaction. A Proposal

ETHICAL ALGORITHMS IN HUMAN-ROBOT-INTERACTION. A PROPOSAL

Position paper ProfessionalGlobaladopted

This academic proposal explores how autonomous robots and AI systems can be endowed with human-like ethical competence through the use of ethical algorithms. It models the general logical form of meta-ethical arguments based on the 'moral stance' and common goods, suggesting a pattern for programming machine ethics. The paper also discusses how model checking and rational verification can support ethical decision-making in human-robot interactions.

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

Who issued it

Free University of BerlinAcademic

Lead issuer

Legal forceAdvisory

Under whose authorityProfessional

Judged fromfull text

Who it governs

Researchers and academicsAI developers and providersAI deployers and users

AI researchers, roboticists, and philosophers interested in the theoretical implementation of ethics in autonomous systems.

Sectors

Research and science · artificial intelligence and robotics research

What the document contains

What's covered

The document addresses the theoretical and logical foundations of robot ethics, proposing a meta-ethical argument model that can be translated into ethical algorithms. It covers concepts such as the moral stance, common goods, vulnerable properties, and the application of model checking for verifying ethical behavior in autonomous systems.

What's missing

The document does not provide ready-to-implement software code, legal regulations, or specific enforcement mechanisms for industry compliance.

Key takeaways

Autonomous robots require human-like ethical competence and ethical algorithms to establish trust and reliability in human-robot interaction.
The moral stance serves as the source of human ethical competence, defined by the intrinsic desirability of accepting moral demands to protect common goods.
Meta-ethical arguments combining evaluative premises about common goods and descriptive premises about vulnerable properties can be formalized logically.
The proposed logical framework avoids the naturalistic fallacy by entailing evaluative information within the premises of the argument.
Formal verification techniques like model checking and rational verification can assist autonomous systems in identifying morally right actions.

Principles it states

Moral demands aim to protect common goods such as bodily integrity and personal and social autonomy.Moral demands are universal, categorical, and evident.Taking the moral stance means accepting moral demands for their own sake as part of the pursuit of happiness.

Outline

· 1. Introduction: Ethical Competence of Robots – A Challenge for Human-Robot-Interaction
· 2. The Meta-Ethical Framework: The Moral Stance
  - 2.1. Moral Demands
  - 2.2. Common Goods and the Awareness for Humanity
· 3. The Logical Form of Meta-Ethical Arguments and Ethical Algorithms
· 4. Model Checking and Ethical Algorithms
· 5. Conclusion

Issued28 January 2023

Length4,428 words · 8 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

2/5

Clear responsibility for AI outcomes

Reasoning with trust and norms is necessary to justify and explain a robots’ decisions and to draw inferences about accountability for failures

1. INTRODUCTION: ETHICAL COMPETENCE OF ROBOTS – A CHALLENGE FOR HUMAN-ROBOT-INTERACTION

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-23

Human Dignity

3/5

Respect for the inherent worth of persons

Human beings share various common goods, to which general evaluative premises of ethical arguments refer to, such as human dignity, bodily integrity, and (personal and social) autonomy.

2.2. Common Goods and the Awareness for Humanity

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-23

Transparency

2/5

Openness about how AI systems work and are used

Reasoning with trust and norms is necessary to justify and explain a robots’ decisions

1. INTRODUCTION: ETHICAL COMPETENCE OF ROBOTS – A CHALLENGE FOR HUMAN-ROBOT-INTERACTION

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

0/5

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

screening score · 2026-10-23

Topics

Physical AI Governancesupporting

robot_ethics ethical_algorithms human_robot_interaction meta_ethics artificial_intelligence