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As part of a Google.org Gen-AI accelerator, CETA Global created EBT-SIM where providers practice evidence-based treatment skills with AI personas, coaching and feedback, addressing workforce challenges and upskilling providers effectively.
Task sharing organizations that train individuals to provide evidence-based mental health support across communities
Individuals trained by task sharing organizations to provide evidence-based mental health support across communities
Individuals with lived experience trained to provide mental health support and care
Health professionals, including doctors and nurses, delivering mental health care
Now accepting submissions of interest for the upcoming issue.
Interconnected is the world’s only digital mental health magazine.
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This field guide addresses a key challenge in global mental health: scaling proven task sharing models while maintaining quality, consistency, and appropriate supervision. Although AI has significant potential to strengthen training, supervision, quality assurance, and service delivery, many organizations lack practical guidance on how to apply it responsibly.
The guide fills this gap by providing a structured framework and concrete use cases that help organizations integrate AI into task sharing programs and expand access to high-quality mental health care.
The Mental Health & AI Field Guide provides practical frameworks, readiness assessments, case studies, and implementation guidance to help organizations responsibly apply AI within mental health task sharing programs. Developed by Grand Challenges Canada, Google, and McKinsey Health Institute, it explores how AI can strengthen training, supervision, quality assurance, and operational efficiency to expand access to evidence-based mental health support globally.
Three ways to get involved:
Choose the level that fits.
