Protect sensitive information
Teams should know what kinds of data can be used with AI tools and what should stay out of them entirely. This is especially important for client, student, donor, and HR information.
Responsible AI
Responsible AI formission-driven organizations
Nonprofits and schools have a special responsibility when introducing AI into staff workflows. The goal is not simply greater efficiency. It is using technology in ways that protect trust, reduce harm, and support the people your organization serves.
Keep humans in review loops
AI can accelerate drafting, summarizing, and organizing work, but final judgment should stay with people who understand the context and consequences of the output.
Be transparent about use
Staff need clear guidance about when AI is acceptable, what review is required, and how to disclose or document its use in important workflows.
Start with low-risk applications
Early use cases should focus on administrative support and internal workflow improvement, not high-stakes decisions that affect people’s access to services or benefits.
Good governance makes adoption easier
Clear policies, review expectations, and staff training reduce uncertainty. When people know how to use AI responsibly, adoption becomes safer and more practical instead of more confusing.