Skip to content
Vision Statement
The CEO Alliance for Mental Health commits to a future where AI innovation and protections advance together to transform the behavioral health ecosystem. As leaders of the nation’s major mental health organizations, we leverage our collective power to provide nonpartisan, science-driven guidance that shapes the future of technology rather than merely responding to it. Grounded in evidence, equity, and the voices of lived experience, we harness AI’s potential across the full continuum of care—from prevention and early intervention to treatment and recovery—to improve health outcomes and advance community well-being.
Guiding Principles for AI in Behavioral Health
To achieve our vision, the Alliance adheres to a single, unified set of principles that govern our efforts:
- Evidence-Based Innovation: We seek to ensure that AI applications are grounded in the best available scientific research and commit to continuous monitoring and evaluation to ensure effectiveness and safety.
- Ethical Stewardship & Protection: We urge that AI be “ethical by design,” implementing proactive strategies to advance benefits and protective safeguards to mitigate risks to privacy, safety, and consumer rights.
- Advancement of Health Equity: AI must be used to reduce disparities and improve access to care, ensuring that technological shifts support the health of the entire population, not just a few.
- Workforce Augmentation: We approach AI as a tool to enhance and support the behavioral health workforce—addressing burnout and expanding reach—rather than replacing the essential human element of care.
- Systemic & Policy Leadership: We focus our collective resources on the policy landscape and society at-large, ensuring behavioral health is a primary consideration in national AI regulation.
- Unified Advocacy & Collaboration: We partner with technology companies to co-create people-centered tools that maximize societal benefits and eliminate harm.
- Shared Knowledge & Accountability: We seek to secure commitments to develop common metrics, evaluation frameworks, and educational resources to ensure a consistent, high-standard approach to AI across all member organizations.
