Record STMT-W95907CAdvisory

Case-Based Robotic Architecture with Multiple Underlying Ethical Frameworks for Human-Robot Interaction

CASE-BASED ROBOTIC ARCHITECTURE WITH MULTIPLE UNDERLYING ETHICAL FRAMEWORKS FOR HUMAN-ROBOT INTERACTION

Report Institutional policyNorthern America · USadopted

This conference paper introduces a flexible case-based robotic architecture designed to guide ethical decision-making in human-robot interactions by leveraging cases from multiple ethical frameworks. The architecture selects appropriate robotic actions based on the specific situation and user context, using survey data derived from both folk morality and formal ethical frameworks. The design is implemented and illustrated through a pill-sorting scenario involving an older adult, where the robot decides whether to provide false encouragement or an accurate assessment.

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

Who issued it

Georgia Institute of TechnologyAcademic · US

Lead issuer

Pennsylvania State UniversityAcademic · US

Co-issuer

Legal forceAdvisory

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

Researchers and academicsAI developers and providers

AI researchers and roboticists interested in implementing ethical decision-making frameworks in autonomous systems.

Sectors

Research and science · robotics and artificial intelligence research

What the document contains

What's covered

The paper presents a robotic architecture utilizing case-based reasoning to handle ethical dilemmas in human-robot interaction. It covers the incorporation of diverse ethical frameworks, survey-based case generation, and an implementation involving a pill-sorting scenario with older adults.

What's missing

The document lacks legally binding regulatory standards, formal compliance mechanisms, and enforcement guidelines for commercial deployment.

Key takeaways

A case-based reasoning robotic architecture can integrate multiple ethical frameworks to guide human-robot interactions.
Cases within the architecture are populated using survey data representing both folk morality and formal ethical theories.
The architecture selects robotic actions dynamically based on features of the current situation, such as user performance and emotional state.
An implementation scenario explores whether a robot should use deceptive false encouragement during a pill-sorting task to maintain user engagement.

Outline

· 1. Introduction
· 2. Background
· 3. Architecture Design
· 4. Architecture Implementation
· 5. Discussion
· 6. Conclusion

Issued18 July 2022

Length2,554 words

FormatNot recorded

Scopenational

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 · 2026-10-23

Fairness

1/5

Non-discrimination and equitable treatment

Social Justice Theory [19]

4. Architecture Implementation

screening score · 2026-10-23

Human Dignity

1/5

Respect for the inherent worth of persons

older adults with memory issues and training of the task can lead to frustration

4. Architecture Implementation

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

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 human_robot_interaction case_based_reasoning ethical_frameworks robotic_deception