Building Trust: Public Priorities for Health Care AI Labeling
Building Trust: Public Priorities for Health Care AI Labeling
https://www.ajmc.com/view/building-trust-public-priorities-for-health-care-ai-labeling
Publish Date: 2026-01-27 16:00:00
Source Domain: www.ajmc.com
- Aim: To identify key content for a health artificial intelligence (AI) tool label based on public perspectives and expectations.
- Study Design: Mixed-methods study combining public deliberation and surveys.
- Participants: 159 residents in Michigan, recruited via various methods to reach diverse backgrounds.
- Key Priorities for AI Tool Labels: Participants prioritized information on privacy and security, health equity, and safety and effectiveness of AI tools.
- Findings: An AI label is identified as a familiar and transparent mechanism to build trust and address notification needs, and is in demand from patients to understand the risks and benefits of AI in healthcare.
- Conclusions: Ethical gaps in AI use in healthcare are highlighted, and the study recommends patient-informed labels to improve transparency, trust, and patient-centered communication.
