Record STMT-W4359B3Advisory

AI Companion Robot Data Sharing: Preferences of an Online Cohort and Policy Implications

Report State lawNorthern America · USadopted

This academic article examines people's perspectives on small AI companion robots for older adults, focusing on issues related to conversation and facial expression data collection and sharing. Using survey data from an online cohort of older adults, the study analyzes comfort levels and data sharing preferences with socio-demographic characteristics. The findings indicate that robot-based data collection raises significant concerns regarding over-monitoring, invasion of privacy, and data security, demonstrating the need for policy and legal frameworks to protect users. Published in June 2023, the study highlights how older adults' interests are often unrepresented in AI data protections.

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

Who issued it

University of WashingtonAcademic

Lead issuer

The University of Texas at AustinAcademic · US

Co-issuer

University of British ColumbiaAcademic · CA

Co-issuer

Oregon Health & Science UniversityAcademic

Co-issuer

Legal forceAdvisory

Under whose authorityState law

Judged fromfull text

Who it governs

Researchers and academicsGeneral publicNational governmentRegulators

Policymakers, researchers, and technology developers looking to understand older adults' data privacy preferences and policy implications regarding AI companion robots.

Sectors

Healthcare · elder care and AI companion roboticsResearch and science · aging and technology research

What the document contains

What's covered

The article covers survey-based findings on older adults' and online cohort perspectives regarding AI companion robots, focusing on comfort levels, data sharing preferences for conversations and facial emotion detection, and policy implications.

What's missing

The document does not provide binding regulatory standards, technical specifications for robot manufacturing, or direct enforcement mechanisms for AI data sharing.

Key takeaways

Just over half of survey respondents expressed comfort with an AI companion robot during the pandemic, while slightly fewer were comfortable under normal circumstances.
Factors such as younger age, male gender, lower formal education, and higher computer use confidence were associated with a greater likelihood of robot comfort.
Primary qualitative themes showed that participants viewed robot data collection as over-monitoring and an invasion of privacy.
Potential users place a high value on data protection, transparency, and security regarding AI companion technologies.
Current law and policy must act to establish trustworthy and desirable companion robots that adequately protect older adults.

Issued1 June 2023

Length4,837 words

FormatNot recorded

2/5

Protection of personal data and private life

Primary themes were that robot-based data collection constitutes over monitoring and invasion of privacy, with participants predicting data privacy, security, and use issues.

Abstract

screening score · 2026-10-24

Transparency

1/5

Openness about how AI systems work and are used

These findings about the importance potential users place on data protection and transparency demonstrate a need for law and policy to act to enable trustworthy, desirable companion robots.

Abstract

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

Abstract

screening score · 2026-10-24

Impact Assessment

0/5

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

Abstract

screening score · 2026-10-24

Topics

Physical AI Governancecontext

ai_companion_robots data_privacy older_adults surveillance health_technology