Trust in artificial intelligence is a multidisciplinary research concept examining the beliefs, attitudes, and intentions of humans regarding the reliability, competence, and benevolence of artificial intelligence systems. It investigates the psychological, social, and technical factors that influence human reliance on and interaction with AI. This concept explores the antecedents, processes, and consequences of human trust in AI, including the impact of system performance, transparency, explainability, perceived risk, and user characteristics. Key characteristics involve its dynamic, context-dependent nature and its reciprocal relationship with user experience and system design. Its significance is paramount for enabling the effective adoption, responsible deployment, and successful human-AI collaboration across various domains.