20

AI for Nonprofits

Practical and ethical AI use for mission-driven teams

AI for Nonprofits

AI isn't here to replace nonprofit work — it's here to support it and make it easier.

Used well, AI can give small teams the capacity of much larger ones.

What Is Generative AI, and Why Should You Care?

AI isn't here to replace nonprofit staff. It's here to give small teams superpowers and help changemakers build on proven impact.

•Tools that can generate text, images, summaries, code, and insights.
•Examples: drafting grant language, summarizing reports, answering common questions.
•Nonprofits often operate with limited time, staff, and budgets — AI reduces administrative load.

Think of AI as a co-pilot, not an autopilot. Start with low-risk, time-saving use cases.

Practical AI Use Cases Across the Nonprofit

The best AI tools aren't flashy — they quietly make your work easier.

•Fundraising & communications: drafting grants, creating donor updates, personalizing outreach.
•Operations: automating meeting notes, organizing knowledge bases, drafting SOPs.
•Programs: chatbots for beneficiary questions, analyzing trends in service data.

AI shines when it handles repetitive tasks, not sensitive judgment calls. Outputs should always be reviewed by a human.

Ethical, Responsible, and Safe AI Use

Just because AI can do something doesn't mean it should, especially in social impact work.

•Bias — AI reflects the data it's trained on.
•Privacy — sensitive data must be protected.
•Transparency — people should know when AI is involved.
•Human-in-the-loop — people make final decisions.

Responsible AI builds trust. Irresponsible AI erodes it quickly.

PreviousNext Module