Should we Trust Social Robots? Trust without Trustworthiness in Human-Robot Interaction
Should we Trust Social Robots? Trust without Trustworthiness in Human‑Robot Interaction
This academic paper investigates the nature of trust and trustworthiness, applying these concepts to Human-Robot Interaction (HRI) to ask whether humans can and should trust social robots. The author argues that a paradoxical scenario of 'trust without trustworthiness' exists, where human users develop interpersonal-like trust toward artificial entities that lack the properties required to be genuinely trustworthy. Concluding that social robots should not be trusted at present due to potential harms, responsibility gaps, and unreliability of the corporations behind them, the paper highlights critical ethical concerns such as privacy, coercion, and deception.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, ethicists, and academics studying human-robot interaction, artificial intelligence ethics, and the philosophical nature of trust.
What the document contains
The paper examines the philosophical definitions of trust versus reliance, evaluates motives-based accounts of trustworthiness, and reviews non-properties-based approaches to human-robot interaction. It addresses the ethical implications of emotional attachment and trust toward social robots, focusing specifically on privacy, deception, coercion, and accountability.
The text does not provide legally binding regulatory frameworks, technical standards, or specific statutory enforcement mechanisms for AI governance.
- Humans frequently exhibit anthropomorphism, emotional bonding, and an attitude resembling interpersonal trust toward social robots despite knowing their artificial nature.
- Properties-based accounts of trust require qualities like goodwill, commitment, and responsiveness, which current social robots lack, leading to a state of 'trust without trustworthiness'.
- Subjective and relational accounts explain how users create fictional overlays and treat social robots as social entities, making trust phenomenologically possible.
- Ethical implications of trusting social robots include severe concerns regarding privacy, coercion, deception, and the dilution of human moral responsibility.
- Because current technology and corporate practices remain unreliable and profit-driven, humans should not trust social robots at present.
1. Introduction 2. How do we Treat Robots? 2.1 Anthropomorphism: Emotional Attitudes towards Robots 2.2 Some kind of Trust? 3. What is Trust(Worthiness)? A properties-based Approach 3.1 Trust and Reliance 3.2 Three Motives-Based Accounts of Trust 4. Trusting Technology 4.1 Non-properties-based accounts of trust in social robots 4.2 Trust without Trustworthiness 5. Should we Trust Social Robots? 5.1 Is Trust in Social Robots Warranted? 5.2 Ethical Implications 6. Conclusion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
This paper concludes that we should, at least for now, not trust social robots, given the potential harms that can be done and the responsibility gaps that might appear when these harms are to be repaired.
Abstract
screening score · 2026-10-24
Fairness
1/5Non-discrimination and equitable treatment
For example, there are issues concerning bias in design (including gender and race stereotypes), work replacement, reduction of human contact, and changes in social relationships.
5.2 Ethical Implications
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
N/A
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
N/A
screening score · 2026-10-24
Transparency
2/5Openness about how AI systems work and are used
Deception relates to the first of Sweeney’s two conditions: being aware of the “dualist nature” of the technology.
5.2 Ethical Implications
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
N/A
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
N/A
screening score · 2026-10-24