Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Human–Agent Interaction (HAI) has become an important field as Artificial Intelligence (AI) systems are increasingly integrated into daily life through chatbots, recommender systems, virtual assistants, and autonomous devices. While AI agents offer efficiency and automation, the issue of trust remains central to user acceptance and ethical deployment. Trustworthy AI involves transparency, fairness, explainability, privacy, accountability, and safety. This paper reviews the relationship between human-agent interaction and trustworthy AI, discussing how user trust is built or broken through interaction design, explainability methods, ethical considerations, and system reliability. It explores models of human trust, design principles for interaction, evaluation techniques, and real-world applications across healthcare, finance, education, and smart systems. The paper also highlights challenges and future directions in creating AI agents that humans can rely upon and collaborate with effectively.

Keywords: Human-Agent Interaction, Trustworthy AI, Explainable AI, Human-Centered Design, Ethical AI, User Trust, AI Transparency