Record STMT-W4D8A60Advisory

Trust as a Solution to Human Vulnerability: Ethical Considerations on Trust in Care Robots

Position paper ProfessionalGlobalin force

This academic article provides an ethical analysis of trust and human vulnerability in the context of AI-based care robots. It examines Misztal's three types of vulnerability—relationships, anticipation problems, and past experiences—and evaluates how trust in technical companions can reduce, transfer, or overcome human vulnerability. The study concludes that trusting care robots can open up new options, delegate responsibilities, and serve as an explication of human freedom rather than merely imposing vulnerability.

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

Who issued it

University of GrazAcademic · AT

Publisher

Legal forceAdvisory

Under whose authorityProfessional

Judged fromfull text

Who it governs

Researchers and academicsGeneral publicProfessional group

Researchers, ethicists, and care professionals should read this to understand the philosophical and ethical dimensions of human-robot interaction in care settings.

Sectors

Healthcare · care sectorResearch and science

What the document contains

What's covered

The document covers an ethical analysis of human vulnerability and trust in relation to AI-based care robots. It explores how interpersonal interdependence, unpredictable future events, and past experiences interact with technical helpers in the care sector.

What's missing

The document does not provide binding regulatory frameworks, legal compliance mechanisms, or technical standards for the development and deployment of care robots.

Key takeaways

Human vulnerability can be categorized into relationships, anticipation problems, and past experiences or traumas.
Trusting AI-based care robots does not only expose humans to risk, but can also reduce vulnerability by providing additional options.
Delegating tasks to a care robot transfers personal responsibility and shifts the burden of vulnerability to the technical helper.
Trust is an intentional and voluntary act that serves as an explication of human freedom rather than a mere reduction of autonomy.
Care robots can help individuals overcome previously internalized vulnerabilities tied to difficult past experiences.

Outline

· 1 Introduction
· 2 Vulnerability
· 3 Trust and Mutual Dependence
· 4 Trust and Unpredictability
· 5 Trust and Experiences
· 6 Final Considerations

Issued27 February 2025

Length9,229 words · 9 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.

Accountability

3/5

Clear responsibility for AI outcomes

A widely accepted formulation for moral responsibility is: A is responsible for X, towards B, with reference to Y

4 | Trust and Unpredictability

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

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

0/5

Openness about how AI systems work and are used

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 Governancesupporting

artificial_intelligence care_robots ethics trust vulnerability