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Record STMT-W9D4C2EAspirational

EHAZOP: A Proof of Concept Ethical Hazard Analysis of an Assistive Robot

Report ProfessionalGlobalin force

This paper presents EHAZOP, a method for conducting ethical hazard analyses on assistive robots by adapting collaborative safety engineering techniques. The authors describe a proof-of-concept case study applying EHAZOP to the Ari assistive robot across cognitive, social, and coaching functions. Results demonstrate that EHAZOP successfully identifies diverse ethical hazards, including novel concerns not captured in standard frameworks like BS8611.

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

Who issued it

arXivAcademic
Publisher
Legal forceAspirational
Under whose authorityProfessional
Judged fromfull text

Who it governs

Researchers and academicsAI developers and providersAI deployers and usersProfessional group

Researchers, developers, and ethicists interested in practical methodologies for identifying and mitigating ethical hazards in assistive robotics.

Sectors
Research and science · assistive robotics researchHealthcare · domestic assistive care

What the document contains

What's covered

The document introduces the EHAZOP methodology, detailing its guide words (More, Less, Early, Late, Opposite, In addition, Never) and how they apply to robot functions, characteristics, and autonomy. It covers a proof-of-concept case study evaluating an assistive robot's social and coaching functions, enumerating resulting ethical hazards and discussing the utility of the method.

What's missing

The document does not provide a comprehensive, finalized regulatory framework or an exhaustive list of all possible ethical hazards for every category of robotic system.

Key takeaways
  • EHAZOP adapts safety engineering HAZOP techniques to identify ethical hazards in assistive robots through structured, facilitated discussions.
  • A proof of concept study using the Ari assistive robot evaluated cognitive, social, and coaching functions using specific guide words.
  • The method identified 21 distinct ethical hazard applications, including novel concerns such as erosion of confidence and lack of associative control.
  • EHAZOP provides a collaborative and creative process suitable for gathering diverse stakeholder perspectives on robot ethics.
  • Traceability between ethical hazards and associated scenarios is a valuable artifact of the EHAZOP process.
Outline
· I. Introduction
· II. Existing Literature
· III. EHAZOP Description and Methodology
· IV. Proof of Concept Case Study
· V. Results and Observations
· VI. Discussion
· VII. Conclusion and Future Work
Issued13 June 2024
Length5,309 words · 6 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.

Human Dignity

2/5

Respect for the inherent worth of persons

wider societal ethical impacts including culture flattening and compromise of human dignity.

Abstract

screening score · 2026-10-23

Privacy

2/5

Protection of personal data and private life

(ethical hazard: lack of privacy ), a scenario where the user had not understood that Ari was monitoring them

Section V-A

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

4/5

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

This paper presents EHAZOP, a method for conducting an ethical hazard analysis on an assistive robot.

Abstract

screening score · 2026-10-23

Topics

ethical_hazard_analysis assistive_robotics safety_engineering human_robot_interaction ethics