What You'll Master

Understand the current landscape of AI in clinical social work practice across supervisor, supervisee, and client use, including the tools' limitations and wider costs.

Identify the ethical and regulatory standards and current professional guidance that govern AI use, including the NASW Code of Ethics, the 2017 technology standards, 2026 NASW practice resources, and BHEC guidance.

Apply a five-question decision framework to evaluate AI use in supervision.

Develop supervision practices for asking about, advising on, and verifying AI use, including supervision contract language.

Your Facilitators

Brandi Felderhoff, PhD, LCSW-S, APHSW-C

Associate Professor | Clinical Supervisor Co-Founder | Social Work Learning Collective

Dr. Felderhoff has 17 years of experience as a licensed social worker, and has actively provided external clinical supervision to LMSW's for the last five years. She has practice experience in the areas of guardianship, veterans, in-patient and out-patient mental health, including rural mental health, and aging and end-of-life of issues. Dr. Felderhoff is passionate about and specializes in death, dying, and bereavement work with a particular focus on cultural humility and trauma-informed approaches, as well as developing competent masters and clinical level social workers. Dr. Felderhoff currently serves as the Region XI Representative to the NASW Board of Directors, is a past President of the NASW-Texas Board of Directors, is currently the President of the Board for the Denton Area Partnership for End-of-Life Care, and is the MSW Program Coordinator at Texas Woman’s University in Denton, Texas.

Angela Lutts, LCSW-S

Private Practice Owner | Clinical Supervisor Co-Founder | Social Work Learning Collective

Angie Lutts, LCSW-S has over 21 years of experience as a licensed social worker, with practice experience in the areas of child welfare, school social work, inpatient and outpatient mental health care. She established an insurance-based independent clinical practice in 2017, specializing in trauma and relationships. She is a Certified EMDR Therapist and an EMDRIA-Approved EMDR Consultant. She enjoys providing supervision for those seeking clinical licensure and consultation for EMDR therapists and social workers starting and managing an independent practice. She served on the national taskforce charged with updating the NASW Standards for Clinical Social Work Practice and currently serves as the Vice President of the Board for NASW Texas.

What You'll Learn in This 3-Hour Training

Whether you've formally addressed it with your supervisees or not, they are likely are using AI, clients are asking about it, and you need a framework to guide them responsibly. This training cuts through the hype and gives you practical tools you can use immediately. You'll walk through a decision framework model that pairs benefits and risks designed specifically for clinical supervisors, that covers three critical relationships: your own AI use, your supervisees' use, and how your clients' data and care might be affected. Beyond the framework, you'll get concrete strategies for informed consent conversations, data privacy safeguards, and monitoring AI use in training and clinical care. We'll also tackle the bigger questions your field is raising: What's the environmental cost of AI? What does this mean for job security in social work? You'll leave with research-grounded answers, not speculation or fear, so you can feel more confident in these conversations with supervisees. Social Work Learning Collective trainings qualify for the 50% preferred provider requirement under BHEC and TSBSWE, per TAC 781.501 (e)(6).

Ready to Lead Your Team Through the AI Shift?

This 3-hour training is designed for supervisors who want to move beyond reactive responses and build a thoughtful, ethical approach to AI in their practice. You'll leave with a framework you can use immediately and the confidence to guide your supervisees and protect your clients. Price increases to $100 after October 3oth.