Artificial Intelligence for Therapists T119

Course Summary

Practice Level: Intermediate

Artificial intelligence is increasingly entering psychotherapy from two directions: clients are using AI tools to seek advice, interpret emotions and relationships, rehearse conversations, and explore possible diagnoses, while therapists are encountering AI-supported tools for intake, documentation, assessment, session preparation, treatment planning, and between-session support. These developments create new opportunities to organize information, reduce administrative burden, and support clinical work, while also raising important questions about accuracy, privacy, bias, informed consent, professional responsibility, and the therapeutic relationship. 

The purpose of this course is to prepare clinical psychologists, professional counselors, marriage and family therapists, and social workers to evaluate and respond to the growing use of artificial intelligence in psychotherapy while maintaining ethical practice, professional judgment, and human-centered care. The material does not require prior training in computer science or data science. 

Clinicians completing this course will examine how contemporary AI systems generate responses, how data quality and bias affect their outputs, and how privacy and consent should be considered when sensitive clinical information is involved. The course also addresses practical situations therapists are increasingly likely to encounter, including clients bringing AI-generated advice or self-diagnoses into therapy; clinicians using AI for intake, documentation, assessment, risk monitoring, treatment planning, and between-session work; and the evaluation of AI-supported tools before they are introduced into practice. Additional content examines regulation, ethics, fairness, human oversight, emerging clinician co-pilots and AI agents, and the potential effects of increasingly integrated AI systems on access, equity, professional responsibility, and the therapeutic relationship. 

Upon completion of the course, clinicians will be better prepared to distinguish useful AI assistance from inappropriate substitution for professional judgment, critically evaluate AI-supported tools and outputs, respond thoughtfully to clients’ use of AI, and apply appropriate safeguards while keeping the client and therapeutic relationship at the center of care.

Course Format

This course is based on a book that can be purchased here and a posttest. When you’re ready, purchase the test by clicking the “Add To Cart” or “Enroll” button. This will let you take the test and receive your certificate for CE credits.

Learning Objectives

1. Distinguish how contemporary AI systems, including large language models, predictive analytics, and AI agents, generate outputs from how therapists use clinical reasoning, and identify limitations such as hallucination, automation bias, lack of contextual understanding, and limited explainability.
2. Analyze how data quality, representativeness, labeling, bias, privacy, and consent can affect the accuracy, fairness, and clinical appropriateness of AI-supported mental health tools.
3. Apply clinically appropriate strategies when clients bring AI-generated advice, self-diagnoses, relationship interpretations, reassurance-seeking, or other chatbot experiences into therapy while maintaining therapeutic curiosity, appropriate boundaries, and the centrality of the therapeutic relationship.
4. Evaluate uses of AI for intake, documentation, pattern recognition, assessment, risk monitoring, treatment planning, session preparation, and between-session support, and distinguish appropriate clinical assistance from inappropriate substitution for professional judgment.
5. Apply ethical, privacy, informed-consent, bias, fairness, regulatory, and human-oversight principles when determining whether an AI-supported use is clinically responsible and defensible.
6. Evaluate an AI-supported mental health tool using its intended use, evidence base, privacy and data practices, safety safeguards, population fit, transparency, human oversight, workflow integration, vendor accountability, and ongoing monitoring.
7. Analyze how emerging AI systems – including clinician co-pilots, between-session supports, relationship care platforms, and client-controlled AI agents – may affect access, equity, privacy, professional responsibility, and the therapeutic relationship.

Course Syllabus

• Demystifying AI
  • How AI learns, generates responses, predicts behavior, and acts
  • AI limitations, hallucinations, and trust
  • Clinical adaptation through multimodal information, fine-tuning, and personalization
  • Emerging developments, simulated clients, and digital twins
•  The Role of Data
  • Types of mental health data and their quality
  • Bias, representativeness, privacy, and consent
• When Clients Bring AI Into Therapy
  • Discussing clients’ AI use and its influence on therapy
  • Addressing reassurance-seeking, self-diagnosis, and reliance on AI
  • Between-session use, privacy, safety, and crisis boundaries
  • Maintaining the therapeutic relationship
• When Clinicians Use AI
  • AI-supported intake, documentation, and pattern recognition
  • Assessment, diagnostic reasoning, and crisis monitoring across age groups
  • Treatment planning and between-session support
  • Managing bias and maintaining professional judgment
• Navigating Regulation, Privacy, Bias, and Ethics
  • Regulation, governance, and professional responsibility
  • Client privacy and data security
  • Bias, fairness, and equitable care
  • Ethical decision-making and human oversight
• Evaluating AI Tools for Practice
  • Defining intended use and assessing evidence
  • Evaluation frameworks and the PRACTICE checklist
  • Vendor questions, adoption red flags, and organizational readiness
  • Applying frameworks and monitoring tool performance
• The Future of AI in Therapy Practice
  • Integrated administrative, in-session, and between-session AI
  • Relationship care platforms and AI agents
  • Emerging risks, access, equity, and sociocultural fit
  • The evolving role of therapists
• Afterword: Keeping Care Human
  • Practical applications and guiding principles for responsible AI use
  • A call to action for human-centered care

Author

Antonio Vincent Vasquez, MS, MBA

Vince Vasquez, MS, MBA, is the co-founder of Relationship Workout, LLC, author of Relationship Workout: The Men’s Manual, and host of the Relationship Workout for Men podcast-dedicated to helping men and their partners build stronger intimate relationships. He holds a provisional patent as inventor of an AI-powered Relationship Self-Care Platform and was featured nationally on Advancements with Ted Danson for his pioneering work in using AI to support relationships. Mr. Vasquez holds an MBA from Stanford University, an MS in Computer Engineering from Carnegie Mellon University, and a BS in Electrical Engineering & Computer Science from UC Berkeley.

Brenda Hart, PhD

Brenda Hart, Ph.D. is a licensed clinical psychologist in the state of California. She is the 2026 recipient of the California Psychological Association Distinguished Contribution to Psychology award. She is co-founder of Relationship Workout, LLC, creator of an AI-powered Relationship Care Platform that helps individuals strengthen their relationships and equips therapists to support clients more effectively. She has owned a private practice specializing in psychotherapy, assessments, and forensic evaluations and has served as adjunct faculty at JFK University. Featured nationally on Advancements with Ted Danson, she discussed relationship challenges addressed through AI. Dr. Hart holds a Ph.D. and M.A. in Clinical Psychology from the California School of Professional Psychology

Antonio Diego Vasquez

Antonio Diego Vasquez is an AI developer and co-inventor of an AI-powered Relationship Self-Care Platform. He led the development of the AI Relationship Coach featured in Relationship Fitness for Men and has been nationally recognized for his contributions to advancing AI in relationship well-being.

Accreditation Approval Statements

CE4Less.com is approved by the American Psychological Association to sponsor continuing education for psychologists. CE4Less.com maintains responsibility for this program and its content.

CE4Less.com, provider #1115, is approved as an ACE provider to offer social work continuing education by the Association of Social Work Boards (ASWB) Approved Continuing Education (ACE) program. Regulatory boards are the final authority on courses accepted for continuing education credit. ACE provider approval period: 08/08/2024–08/08/2027. Social workers completing this course receive 5 general continuing education credits.

Level Education Group, LLC is recognized by the New York State Education Department’s State Board for Mental Health Practitioners as an approved provider of continuing education for licensed mental health counselors #MHC-0355.

Level Education Group, LLC is recognized by the New York State Education Department’s State Board for Social Work as an approved provider of continuing education for licensed social workers #SW-0835.

We are committed to providing our learners with unbiased information. CE4Less never accepts commercial support and our authors have no significant financial or other conflicts of interest pertaining to the material.