AI in Nonprofits Quiz

Answers and explanations appear as you take the quiz.

1. A nonprofit considers automating donor categories. What should it clarify first?
   • How many donor fields the vendor accepts
   • Whether the system can write a press release
   • The mission outcome and how categorization serves it
   • The largest possible automation rate
2. A pilot saves drafting time but creates more fact-checking work. What should the nonprofit measure?
   • Net staff effort and quality against a baseline
   • Only words generated per minute
   • Whether the model’s output sounds polished
   • The number of staff accounts created
3. Why use a small representative pilot before broad adoption?
   • Small pilots guarantee statistical significance
   • A pilot removes the need for privacy review
   • It demonstrates that every nonprofit needs the same tool
   • It can reveal usefulness, risk, and who may be excluded before larger commitment
4. What is a relevant safeguard for donor or beneficiary data?
   • Copy complete records into every prompt
   • Minimize what is shared and document provider access and retention
   • Use local processing as proof that privacy is solved
   • Retain all inputs without a defined purpose
5. A generated fundraising message makes a claim about program impact. What should happen before sending?
   • Review the claim against evidence and avoid misleading readers
   • Publish it if the language is persuasive
   • Add an invented beneficiary quotation
   • Treat generation as evidence of impact
6. How should an organization measure whether a new tool improves its program?
   • Count only automated steps
   • Measure only the model’s benchmark score
   • Compare relevant mission outcomes and workload to a baseline
   • Ask the vendor whether it improved impact
7. What makes a pilot practical for a resource-limited team?
   • A complex vendor contract with no exit path
   • A clear owner, reversible change, and a rollback that staff can operate
   • An unmonitored system that runs indefinitely
   • A requirement to replace every current process
8. Why preserve a manual route if an AI service is unavailable?
   • Manual work always produces better outcomes
   • It raises automation metrics
   • The model requires a second interface
   • Service recipients still need access when the tool fails