Unlike traditional trainings that focus on AI tools or documentation practices, AI & Ethics: Live-Case Games brings ethical learning to life through dynamic, game-based case analysis. This highly interactive session invites mental health professionals to actively step into the gray zones of AI related ethical dilemmas, navigating real-world challenges that go beyond policy and into lived professional decision making.

Participants will engage with scenarios involving note generators, chatbot misuse, AI-predicted outcomes, and evolving documentation practices. Each vignette is designed to spark layered ethical reflection across core themes such as informed consent, bias, clinical judgment, and relational trust. Using breakout groups, role play, debate, and live polling, attendees will examine how artificial intelligence intersects with responsibility, regulation, and relational care when there is no clear roadmap.

What makes this training unique is its experiential learning structure: clinicians will not only review ethical standards from NASW, ASWB, and WHO, but apply them in collaborative real-time decisions, where nuance, discomfort, and discernment are part of the process. Emphasis will be placed on trauma-informed care, equity, cultural humility, and the emerging ethics of how we use technology—not just whether we do.

This session is ideal for therapists, supervisors, and documentation reviewers who want to move beyond theoretical frameworks into embodied practice—building clarity, courage, and collaborative thinking in a rapidly shifting digital landscape.

Upon completion of the webinar, participants will be able to:

• Apply ethical decision-making frameworks to AI-related dilemmas in clinical practice.
• Evaluate the benefits and risks of AI tools for documentation, assessment, and client engagement.
• Identify ethical best practices for informed consent, confidentiality, and transparency when using AI.
• Engage in collaborative case reflection to build confidence and clarity in navigating complex technology decisions.