Community-Centered AI: Involving the People Nonprofits Serve
Why and how nonprofits should involve the people they serve in choosing, designing and reviewing AI tools, from listening sessions to shared governance.
Blog
Research notes on how artificial intelligence is changing donors, nonprofits, giving platforms and the ethics of philanthropy.
Data Collaboratives: How Shared Information Can Improve Giving
How nonprofits and funders can pool data to see unmet needs and reduce duplication, with the governance needed to protect the people behind it.
Fraud Detection in Online Fundraising: Using AI to Protect Donors
How AI helps nonprofits stop card testing, fake campaigns and impersonation in online giving without turning away genuine donors.
AI Literacy for Nonprofit Boards: Questions Every Trustee Should Ask
Trustees don't need to be technologists to govern AI well. These practical questions help nonprofit boards oversee strategy, data, risk and vendors.
Smarter Workplace Giving: How AI Can Improve Employee Matching Programs
How AI can help more employees claim matching gifts, ease verification for companies and help nonprofits collect funds they are already owed.
Volunteer Management in the Age of AI
How AI can take scheduling, matching and paperwork off a volunteer coordinator's plate without turning goodwill into gig work.
AI in Disaster Relief: Faster, Smarter Humanitarian Giving
Where AI helps disaster relief move faster, from damage maps to cash transfers, and how to keep the least visible communities from being left out.
Responsible AI Prospect Research: Finding Major Donors Without Crossing Lines
How nonprofits can use AI to find major gift prospects while respecting donor privacy, consent and the trust that makes philanthropy work.
Donor Consent and Data Ethics in Machine Learning Fundraising
How nonprofits can use predictive fundraising tools with meaningful donor consent, data minimization, clear governance and plain-language disclosure.