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Designing for Trust: Exploring User Perceptions of AI Transparency in Healthcare
Inês E Amaro1,2, Mina Bjelogrlic1,2, Julie Guebey1,2
1Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland.
None:
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.
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