<p>This special edition of the Journal of Technology in Behavioral Science (JTiBS), “Artificial Intelligence Advancements in Behavioral Health,” explores the transformative potential of artificial intelligence (AI) to advance mental and behavioral healthcare practice. This special edition places particular emphasis on large language models (LLMs) and AI-driven conversational agents that support psychotherapy, clinical interviewing, education, and behavior change interventions. It explores critical ethical, clinical, and societal questions regarding the use of AI in mental healthcare, including perceptions of trust, competence, and the relationship between humans and AI. Articles examine public sentiment, clinician readiness, and strategies for integrating AI responsibly in practice. Highlights include applications in early detection of mental illness and neurodevelopmental disorders, using biomarkers and imaging data analyzed by AI systems. The collection emphasizes the need for evidence-based, ethical, and clinically relevant integration of AI that supports human-centered care while enhancing access, personalization, accuracy, and consistency. By showcasing innovative frameworks, tools, and evaluations of them, this special edition offers valuable insights for clinicians, researchers, educators, and administrators navigating the evolving intersection of behavioral health and digital technology. As the field undergoes a profound digital transformation, this special issue invites ongoing collaboration to ensure AI becomes a trusted and effective tool in promoting mental wellness and advancing behavioral science.</p>