While there’s great potential for nonprofits to tap into A.I. and the technology that powers it, there remains a lot of unanswered questions that organizations (and their staff) grapple with:

• Will this technology replace staffers?

• How can A.I. augment the work we’re doing to support our mission?

• What impact can this have on our supporters?

For Crisis Text Line, a nonprofit organization whose text-based platform provides a safe space for people experiencing a mental health crisis, understanding where A.I. fit into their operations was crucial. Since 2013, the organization has trained 65,000 volunteer crisis counselors to be caring individuals and confidants for people in crisis; for them, they needed to make sure that A.I. could help them scale their support operations to meet the growing global need for mental health support.

In this Case Study, “Empowering Change: How Crisis Text Line Uses A.I. & ML to Address the Global Mental Health Crisis,” learn how one nonprofit leaned on machine learning and large language models to augment crisis communication, build empathy, and foster connection in the face of a global mental health crisis.