Artificial intelligence is already influencing mental health practice—often without clear guidance, formal training, or ethical safeguards. Clinicians are using AI for documentation, clients are using AI for emotional support, and licensing boards are beginning to encounter AI-related complaints. This course addresses the ethical, legal, and clinical realities of AI use in mental health practice through a risk-management and client-centered lens.
This ethics-focused CEU training provides clinicians with practical, defensible guidance for navigating AI in both clinical and administrative contexts. Participants will examine how existing ethical principles apply to AI use, including confidentiality, competence, informed consent, documentation, nonmaleficence, and professional responsibility. The course emphasizes that while AI may assist clinical work, responsibility always remains with the licensed professional.
Through detailed case examples, ethical decision-making frameworks, and documentation guidance, clinicians will learn how to evaluate AI-related risks, establish appropriate boundaries, respond to client AI use, and protect both client welfare and licensure. Special attention is given to HIPAA considerations, malpractice exposure, documentation as a legal record, and the distinction between AI-generated support and psychotherapy.
This course is designed for licensed mental health professionals seeking to responsibly integrate—or intentionally limit—AI use while maintaining ethical integrity, clinical judgment, and board-defensible practice.
- Teacher: Admin User