Record STMT-W100854Aspirational

The Essence of Ethical Reasoning in Robot-Emotion Processing

Report Institutional policyGlobaladopted

This academic paper presents a mathematical explanation of an ethical reasoning mechanism called EEGS for social robots. It argues that while emotion believability is necessary, robots require a higher-level cognitive mechanism to decide whether expressing a specific emotion is socially appropriate. The model helps social robots reach socially acceptable emotional states when multiple emotions are triggered simultaneously.

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

Who issued it

SpringerIndustry

Publisher

University of Technology SydneyAcademic · AU

Contributor

Legal forceAspirational

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

Researchers and academicsGeneral publicAI developers and providers

Researchers and developers studying artificial intelligence, machine ethics, and human-robot interaction.

Sectors

Research and science · social robotics

What the document contains

What's covered

The paper details a computational model (EEGS) integrating ethical reasoning into emotion processing for social robots, helping them evaluate and inhibit inappropriate emotional responses.

What's missing

The text does not contain statutory regulatory standards, binding legal frameworks, or formal legislative enforcement mechanisms.

Key takeaways

Social robots need higher-level cognitive mechanisms to ensure their emotional expressions are socially appropriate.
Believability alone is insufficient for a social robot's emotional display to be acceptable.
The proposed EEGS model uses mathematical ethical reasoning to select the most socially acceptable emotional state.
Appraisal theory provides the basis for simultaneous emotional appraisal in artificial agents.

Principles it states

Socially acceptable emotional expression in artificial agents

Outline

· Abstract
· Introduction
· Related Work
· Appraisal Theory
· EEGS Computational Model
· Experimental Results
· Conclusion

Issued26 December 2017

Length1,888 words

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

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-24

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-24

Transparency

3/5

Openness about how AI systems work and are used

In this paper, we present the detailed mathematical explanation of the ethical reasoning mechanism in our computational model

Abstract

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-24

Impact Assessment

0/5

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

screening score · 2026-10-24

Topics

Physical AI Governancecontext

social_robots machine_ethics emotion_processing cognitive_models human_robot_interaction