June 15, 2026 - 3-Hour Artificial Intelligence in Mental Health, Live, Interactive Webinar (NBCC and ASWB Approved)

AI is increasingly being used in mental health work. No matter where you fall on the AI utilization spectrum, from actively using AI to actively avoiding it, it is important to have a good working knowledge of the many ways in which AI is being used in the behavioral health profession. This workshop will focus on four areas concerning AI: 1) the history of AI and terminology one needs to know regarding AI in mental health; 2) the practical uses (and best practices) of AI in mental health; 3) cultural implications of AI; and 4) ethical and risk management issues related to the utilization of AI. An interactive, small group exercise will help bring together the concepts of applications of AI in mental health, and their cultural and ethical implications when using AI with patient care.

Workshop Components:

8:30 AM - Webinar Opens at 8:30 a.m. and starts at 9 a.m.

9:00 AM – History of, and Defining, Artificial Intelligence (AI) (45 min)

1. The History of AI
2. Defining AI
3. Types of AI (Narrow, General and Superintelligent)
4. AI terms to be familiar with and defining those terms (Machine Learning, Large Language Models, Deep Learning, Generative AI, Multi-Modal Models, Predictive Analytics and Natural Language Processing)

9:30 AM The Use of AI in Mental Health - (45 min)

1. Documentation
2. Chatbots
3. Early Detection and Screening
4. Personalized Treatment Planning
5. Diagnosing
6. Virtual reality and avatars
7. Predictive Analysis

10:30 AM – (15 Minute Morning Break)

10:45 AM – Cultural Considerations when using AI (45 min)

1. Cultural and structural biases in AI when looking at 4 areas (Neurodivergent expressions, non-western spiritual worldviews, community-based healing traditions and trauma expressions that do not fit tidy categories)
2. What AI algorithms see and what they miss and how that could lead to cultural bias
3. Disproportionate natural resource depletion and how this could impact marginalized communities more

11:30 AM – Ethical and Risk Management Considerations using AI (45 min)

1. Overview of the Ethics of AI
2. Risk management considerations for the following areas: (confidentiality, informed consent, transparency, client misdiagnosis, client abandonment and client surveillance issues)
3. Discussion of attached sample social media AI policy for patients
4. Small group activity (bringing it all together and putting it in motion with a patient case example)

12:15 PM – Question/Answer Period and discussion on how to obtain certificates of completion