This is a preliminary list of practical tools and further readings that can help support your program's AI journey. These resources supplement this field guide and deepen your understanding of responsible AI practices across technical and ethical domains.
The practical tools section features open-source models, toolkits, and funding opportunities that could help kickstart or accelerate the development and deployment of the AI use cases mentioned in the field guide.
These were selected based on each being: open-access, clearly linked to health or medical applications, proven to be used in such applications, and showing they directly support or can be linked to AI capabilities.This is a non-exhaustive sample based on publicly available information. The list is not an endorsement of these organizations or solutions and is for reference only. Organizations should make their own decisions on what tools meet their needs.
The further readings section offers timely guidance and thought leadership from global organizations on how to design, govern, and scale AI in a way that is human-centered, safe, and trustworthy.
Closing thoughts
As mental healthcare continues to outpace the resources available, thoughtfully integrating AI into mental healthcare programs offers a powerful path forward—one that could expand access, enhance quality, and support the programs and people at the heart of support and care. We hope this field guide sparks new ideas, informs strategic decisions, and inspires collaboration across sectors. If you have feedback, ideas, or examples to share, we would love to hear from you. Reach us at globalmentalhealth@grandchallenges.ca.
Thank you for being part of the journey to increase access to mental health support and care for those in need—and to build more scalable, equitable, and human-centered systems of care.