This 4-hour ethics training explores the rapidly evolving role of Artificial Intelligence (AI) in mental health care, from documentation tools and wellness apps to emerging “AI therapist” platforms. Clinicians will examine how to ethically integrate these technologies without compromising relational, trauma-informed practice. Through case vignettes, reflective discussion, and guided application of professional standards (NASW, APA, NBCC, ASWB, WHO), participants will learn to discern between tools that augment care and those that risk replacing human connection.
Attendees will leave with a clear ethical decision-making framework, practical red flag and green light indicators for AI use, and strategies for maintaining transparency, integrity, and client trust in a rapidly changing digital landscape. This engaging, accessible session is designed for licensed clinicians seeking to balance innovation with ethical responsibility.
https://frumtherapist.com/workshops/Ethics20252/viewEthics and AI:
Navigating the Future of Mental Health Practice (Recorded)
Previously Recorded
Presenter: Kristin Whiting-Davis, LCSW-C, LICSW
Course Length: 4 Hours
This workshop Offers 4 Continuing Education Credits
This webinar is recorded and will not grant live credits.
This 4-hour ethics training explores the rapidly evolving role of Artificial Intelligence (AI) in mental health care, from documentation tools and wellness apps to emerging “AI therapist” platforms. Clinicians will examine how to ethically integrate these technologies without compromising relational, trauma-informed practice. Through case vignettes, reflective discussion, and guided application of professional standards (NASW, APA, NBCC, ASWB, WHO), participants will learn to discern between tools that augment care and those that risk replacing human connection.
Attendees will leave with a clear ethical decision-making framework, practical red flag and green light indicators for AI use, and strategies for maintaining transparency, integrity, and client trust in a rapidly changing digital landscape. This engaging, accessible session is designed for licensed clinicians seeking to balance innovation with ethical responsibility.
Agenda (4 Ethics CE Hours)
9:00 – 9:20 AM | Welcome, Orientation & Grounding
Facilitator introduction, course overview, and participant check-in: “What comes to mind when you hear ‘AI in therapy’?” Includes mindfulness grounding exercise, trauma-informed learning agreements, and review of course objectives.
9:20 – 10:00 AM | Mapping the AI Landscape in Mental Health
Overview of five categories of AI use in clinical settings. Group polls and guided discussion exploring clinician familiarity, perceived benefits, and ethical concerns.
10:00 – 10:45 AM | Benefits & Boundaries: What AI Can (and Can’t) Do
Presentation on the ethical use of AI in documentation, accessibility, and psychoeducation. Group dialogue on trauma-informed and relational boundaries. Guided reflection: “Where might AI enhance or challenge my practice?”
10:45 – 11:00 AM | Break
11:00 – 11:45 AM | Case Vignettes & Ethical Dilemmas in Practice
Small group application of the NASW Ethical Decision-Making Framework and the “Augment, Not Replace” lens. Participants analyze real-world vignettes involving AI documentation, client app use, and psychoeducation.
11:45 AM – 12:15 PM | Large Group Debrief: Lessons from the Field
Whole-group discussion identifying shared ethical tensions, cultural and relational implications, and principles guiding AI integration.
12:15 – 12:30 PM | Break
12:30 – 1:10 PM | Professional Standards & Practical Tools
Review of NASW, APA, NBCC, ASWB, WHO, and CMS standards on technology and ethics. Presentation of Red Flags & Green Lights Checklist for AI use in practice.
1:10 – 1:40 PM | Integrating Reflection & Personal Ethics Practice Plan
Participants create a personalized “AI Ethics Practice Intention” statement and explore supervision, documentation, and organizational implications.
1:40 – 2:00 PM | Integration & Closing
Final reflection: “What ethical commitment do I want to hold when working with AI?” Q&A, CE credit process, and post-session resource links.