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cs.HC2026
Exploring Trust Calibration in XAI - The Impact of Exposing Model Limitations to Lay Users
Alfio Ventura, Tim Katzke, Jan Corazza +1
Trust calibration -- aligning user trust judgment with model capability -- is crucial for safe deployment of explainable AI (XAI), yet is often evaluated via global trust ratings d…
cs.HC2025
Formal verification for robo-advisors: Irrelevant for subjective end-user trust, yet decisive for investment behavior?
Alina Tausch, Magdalena Wischnewski, Mustafa Yalciner +1
This online-vignette study investigates the impact of certification and verification as measures for quality assurance of AI on trust and use of a robo-advisor. Confronting 520 par…