HRI ethics and type-token ambiguity: what kind of robotic identity is most responsible?
This academic paper examines the ethical challenges of type-token ambiguity in human-robot interaction, analyzing how robots function as both general system types and specific individual machines. It explores three key areas where this tension manifests: personalized information recounting, moral appeals and decision justification, and machine replacement and platform transfer. The authors argue that responsible robotic design must account for these shifting identities rather than treating robotic identity as a problem with a single ontological solution.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and designers working on human-robot interaction and robot ethics should read this to understand the ethical implications of robotic identity.
What the document contains
The paper explores type-token ambiguity in robotic identity, examining how networked systems or multiple bodies under a single control system affect human-robot interactions, personalization, moral justifications, and replacement.
The text does not provide a formal governance framework, binding regulations, or explicit legislative enforcement mechanisms for robot manufacturers.
- Robots present an ethical ambiguity by acting simultaneously as general system types and discrete, particular token machines.
- Type-token tension affects human-robot interaction in personalized information recounting, moral appeals, and robot replacement scenarios.
- Robots may regard themselves as replaceable tokens of a general type and potentially take extraordinary actions on that basis.
- Responsible robotic design must account for shifting robotic identities rather than looking for a single ontological solution.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
Abstract
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Abstract
screening score · 2026-10-24