Stories, Systems, & Ethics
Equipping Social Workers and Mental Health Professionals for the Age of AI
Approved for 3 Ethics CE Hours
NASW Approval #A-447-4242026
Artificial Intelligence is Here!
Artificial Intelligence is no longer a future concept—it is actively shaping clinical decision-making, documentation, access to care, and the therapeutic experience itself.
As mental health professionals, we are called not only to understand these changes, but to lead with ethical clarity, clinical wisdom, and human-centered care.
This course offers a powerful, thought-provoking exploration of AI through the lens of social work values, neuroscience, and real-world practice. Through compelling case narratives, systems-level analysis, and practical frameworks, participants will examine how emerging technologies are influencing clients, clinicians, and communities—often in ways that are unseen, unregulated, and ethically complex.
Mental Health Leadership in the Ethics of AI
Grounded in the NASW Code of Ethics and anchored by the DIGNITY™ Framework, this training equips you to critically evaluate AI tools, navigate ethical dilemmas, and protect the dignity, autonomy, and well-being of those you serve. You will leave not only informed—but empowered to respond with discernment, confidence, and leadership in a rapidly evolving digital landscape.
This is more than a course. It is a call to thoughtful, ethical practice in an age where technology is advancing faster than our systems—and where your voice as a social worker has never been more essential.
Course curriculum
Module 1: Foundational: Intro to AI in Mental Health (40 minutes)
Module 2: Code of Ethics in Social Work & Other Mental Health Professions (1 hour)
Module 3: The Human Experience and AI (40 minutes)
Module 4: Why Stories Matter (40 minutes)
Module 5: Assessing AI: The DIGNITY Framework
Total CEU Hours: 3 Ethics CEUs
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Welcome and Course Orientation
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Course Modules: Stories, Systems & Ethics: Equipping Social Workers and Mental Health Professionals for the Age of AI
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Quiz, Evaluation & Completion