Clinical AI Safety & Cultural Expansion Certification

AI can be technically correct, but psychologically harmful. CASCE™ trains professionals to know the difference.

AI advancement and development are progressing at a rapid pace. It's essential that we apply Cultural Expansion principles to reduce stereotyping and respond with curiosity, humility, and clear boundaries as well as evaluate AI outputs using clinically grounded safety reasoning; knowing when human judgement or referral is required.

CASCE™ applies live, skills based training which equips learners to use, evaluate, and supervise AI tools in mental health and addiction related contexts with clinical safety, cultural humility, and clear boundaries.

This program moves beyond "AI ethics" as a buzzword and trains participants to recognize psychological vulnerabilities, prevent AI-driven harm, and apply cultural expansion.

The Level 1 certification includes 5 modules which build through:

  • Foundations

  • Applied safety decision making

  • System level ripple effects

  • Practical boundary plans

Designed for Professionals who:
  • Work at the intersection of mental health and technology

  • Supervise clinicians, students, or behavior health teams

  • Implement AI health tools in emotionally sensitive environments

  • Teach, train, or design systems affecting vulnerable populations

  • Want to prevent harm before it happens

The Results:

♦ Recognize when accurate AI becomes unsafe
♦ Protect autonomy and relational integrity
♦ Apply culturally expansive evaluation standards
♦ Design safer AI implementation policies
♦ Think like a clinical AI Safety Evaluator

CASCE™ certification reflects applied interdisciplinary training and competency development in clinical AI safety and cultural expansion. Certification does not constitute professional licensure or independent clinical authority.

Enrollment Opening September 2026

Due to limited training capacity, early interest registration is recommended. Individuals who join the interest list will receive priority notification before public enrollment opens. Cohort capacity is intentionally limited to support interdisciplinary discussion, collaboration, and applied engagement throughout the training experience.