This session introduces the Mind Locker Method™, a structured psychological approach focused on real-time regulation during ongoing stress. Developed through lived experience and clinical practice, it explores how individuals can maintain clarity, emotional stability, and functional capacity under pressure, while offering a scalable, non-pharmacological perspective relevant to clinical, performance, and broader mental health systems.
This session explores how artificial intelligence in mental health moves from promising innovation to sustained use within real-world care systems. While AI-driven tools continue to expand across research and pilot settings, their integration into everyday clinical and community environments remains uneven. Bringing together perspectives across technology, implementation, and care delivery, the discussion focuses on where adoption breaks down, what enables system readiness, and how AI solutions can be designed to function effectively within complex, real-world mental health systems.