Ethical Decision-making For AI Use In Clinical Practice

Artificial intelligence is increasingly integrated into clinical workflows, raising complex ethical questions for mental health professionals. This 1.75-hour continuing education course provides clinicians with a structured approach to ethical decision-making when using AI tools in psychotherapy practice. Grounded in core ethical principles—including confidentiality, competence, informed consent, responsibility, and avoidance of harm—this course examines how these standards apply to emerging technologies. Participants will learn a repeatable decision-making framework to evaluate the ethical implications of AI use across clinical tasks such as documentation, organization, and reflective support. Through case-based examples, the course explores risks including bias, scope creep, data privacy concerns, and the potential for over-reliance on AI-generated content. Emphasis is placed on maintaining clinician accountability, understanding the limits of AI systems, and integrating ethical considerations into everyday clinical decisions. Participants will leave with practical tools to engage AI thoughtfully and responsibly while upholding professional ethical standards.