Drivers of trust in AI across the domains of finance, law, and healthcare: a conjoint study
AI Summary: A conjoint analysis of trust in AI-supported decision-making across healthcare, legal, and financial domains reveals that while all attributes influence trust, their relative importance varies significantly by domain. In healthcare, precision and responsibility are paramount, reflecting the critical nature of clinical decisions, while transparency is also valued, and explainability ranks lowest. Conversely, in the legal domain, procedural attributes such as responsibility, transparency, and explainability dominate, emphasizing the importance of due process and human involvement in decision-making. In finance, trust is shaped by a balance of responsibility, voluntariness, and precision, highlighting the need for human accountability and discretion in financial outcomes.