Center for Nonprofit Leadership & Strategy
The Questions Every Nonprofit Board Should Ask About AI
Boards do not need to be technical to govern AI well. They need the right questions. Here they are.
Evidence-based writing on nonprofit AI strategy, governance, tools, and implementation. Written for executives and boards who have to make decisions, not just stay informed.
What a nonprofit does in the first 48 hours after an AI failure, and why the instinct to delete the chat is the costliest thing anyone can do.
Read the article →
Boards are told to acquire AI expertise. The evidence says board size and revenue predict nothing, and that the conversation is what matters.
Read the article →
Prompts and model outputs are records. Four retention clocks govern them, they disagree, and the shortest one runs by default.
Read the article →
AI gives away a good-enough version of what associations have sold for a century. A framework for deciding what member value is still defensible, with a free diagnostic.
Read the article →
Readiness is not about enthusiasm. Five dimensions decide whether AI becomes a capability or an abandoned experiment, and they do not carry equal weight.
Read the article →
The eight decisions every nonprofit AI policy must make, grounded in peer-reviewed research, with a free downloadable template.
Read the article →
Boards do not need to be technical to govern AI well. They need the right questions. Here they are.
Adoption is nearly universal in the headlines and more complicated in the data. A closer read of the year’s most cited surveys, and what they actually mean for your organization.
The diligence questions that separate genuine capability from repackaged hype, before the contract is signed.
An honest map of AI’s current usefulness across the fundraising cycle, grounded in evidence rather than vendor claims.
A concise monthly briefing on AI strategy for the sector.