AI reshapes online higher education, offering powerful tools that personalize learning, automate assessment, and expand access to academic resources. As these technologies become more integrated into virtual classrooms, they raise important psychological and ethical questions about how students learn, think, and evaluate. Issues like data privacy, algorithmic bias, academic integrity, and student autonomy intersect with psychological factors like motivation, trust, and cognitive development. Examining the relationship between psychology, ethics, and AI in online higher education may ensure technological innovation enhances learning while respecting students’ rights, well-being, and educational equity. Psychology, Ethics, and AI in Online Higher Education explores how AI influences students’ psychological experiences, learning behaviors, and decision-making in online higher education environments. It examines the ethical implications of AI use to ensure these technologies support effective and responsible educational practices. This book covers topics such as emotional intelligence, personalized learning, and tutoring systems, and is a useful resource for educators, engineers, academicians, researchers, and scientists.