Scientific article
OA Policy
English

Designing for Trust : Exploring User Perceptions of AI Transparency in Healthcare

Published inStudies in health technology and informatics, vol. 336, p. 778-779
Publication date2026-05-21
Abstract

Transparency is frequently cited as a key ethical requirement for artificial intelligence (AI), yet its meaning remains ambiguous and often defined through a top-down technical or regulatory perspectives. The XpliCAI project adopts a user-centered participatory design approach to explore how healthcare stakeholders perceive and interpret transparency of AI systems. This paper reports findings from the first of six planned workshops, combining a preliminary questionnaire (N = 29) with four participatory focus groups involving healthcare professionals, students, patient partners, and caregivers.

Keywords
  • Healthcare AI
  • Transparency
  • User-centered design
  • Artificial Intelligence / ethics
  • Humans
  • Trust
  • Focus Groups
  • Attitude of Health Personnel
  • Surveys and Questionnaires
Citation (ISO format)
ESPINHAL AMARO, Inês Sofia et al. Designing for Trust : Exploring User Perceptions of AI Transparency in Healthcare. In: Studies in health technology and informatics, 2026, vol. 336, p. 778–779. doi: 10.3233/SHTI260282
Main files (1)
Article (Published version)
Identifiers
Journal ISSN0926-9630
5views
10downloads

Technical informations

Creation02/06/2026 15:40:50
First validation06/07/2026 07:28:17
Update06/07/2026 07:28:17
Status update06/07/2026 07:28:17
Last indexation06/07/2026 07:28:18
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack