AI-based mental health interventions are increasingly used due to their accessibility and anonymity. While they lack human traits like empathy and ethical judgment, they are often perceived as more objective, potentially influencing trust and treatment adherence. This study aims to investigate how perceptions of fairness shape engagement with AI vs. human therapy, assessing whether AI’s perceived fairness affects trust and treatment adherence. The findings could offer insights into AI’s evolving role in mental health care and its potential to complement traditional therapeutic approaches.

Dilan Yücel

Dilan Yücel is a PhD candidate in the neuroimaging in psychiatry lab at Amsterdam University Medical Center. Her research utilizes ultra-high field MRI and data science to study major depressive disorder. She holds a research master’s in psychology from the University of Amsterdam and has studied in Türkiye, Spain, and South Korea. Beyond research, she enjoys swimming, playing volleyball, and capturing cat photos around the beautiful canals of The Netherlands.