AI in Mental Health: Legal, Ethical, Clinical, and Practical Issues When Supporting Care of System-Involved Youth and Families 

Training Summary 

AI has already been adopted for all kinds of healthcare and mental health care services. Use of AI in these contexts offers many benefits, risks, and unknowns. In this course, participants will learn what AI is and is not, ways it can be used administratively and clinically in mental health service delivery, risks and benefits of using AI, and legal and ethical considerations.

Training Objectives

1. List two benefits and two risks of using AI in clinical practice

2. Describe three ethical issues that can arise when using AI in clinical practice

3. Describe three legal issues that can arise when using AI in clinical practice

4. List at least three practices to assure the legal and ethical use of AI in clinical practice

Instructor Bio

Rachel Michaelsen, LCSW, is a clinical social worker who has worked in HMOs, public agencies, and private practice as both a mental-health provider and a supervisor for over thirty years. She has taught courses in DSM-5, clinical supervision, law and ethics, childhood psychopathology, time management, vicarious traumatization and energy psychology at universities, conferences, and mental-health agencies.

Steve Freedkin is an independent technology professional whose services include Internet security, technical support, Web-site development and management, SEO (online promotion of Web sites), social-media management, audiovisual production and streaming, and other computer-related services, primarily for psychotherapists in private practice and other small businesses and organizations.