White paper
Responsible predictive fundraising...
Responsible Predictive Fundraising: Governance Models for AI in Nonprofits
How to build trust, accountability, and ethical guardrails into AI-powered fundraising operations.
Inside the paper:
- Why governance is now a growth issue - and the condition for scalable AI adoption.
- The five pillars: purpose clarity, data stewardship, explainability, human accountability, and monitoring.
- A governance structure boards, executives, fundraisers, and technology teams can actually use.
- Why black-box AI is a poor fit for fundraising - and how explainability supports trust.
What you'll learn
Govern responsibly
Create the trust layer that lets AI move from pilot to institutional practice.
Steward data well
Set clear rules for privacy, consent, data quality, and sensitive attributes.
Explain outputs
Give staff and leadership language they can use to understand and defend predictions.
Monitor over time
Track model performance, drift, adverse outcomes, and control effectiveness.