TWB Fundraising Blog

In an AI World, Donor Trust Comes First

Written by Marilyn Foster Kirk, CFRE | September 15, 2026

As artificial intelligence transforms nonprofits, trust is the strategic imperative.

Research from Independent Sector and Indiana University’s Lilly Family School of Philanthropy identifies trust as one of the strongest motivators of charitable giving. As nonprofit organizations increasingly adopt AI technologies, understanding how donors perceive AI use and how it affects trust and giving behaviors is essential.

Recent donor surveys, including Donor Perceptions of AI by Chappell and Koshy, found donors expressing a conditional acceptance of using AI in nonprofits, recognizing AI’s potential to improve operational efficiency and strengthen measuring and reporting mission impact.

However, Inside Philanthropy more recently reports growing evidence that some donors are moving away from acceptance toward active opposition as concern mounts around data centers, authenticity, and privacy.

What do donors expect of organizations that use AI? Donors are emphatic that AI be used responsibly and expect:

  • Transparency about when and how AI is used.
  • Protection of personal data and privacy.
  • Authenticity where humans, not AI, represent the organization.
  • Human engagement in relationships, decisions, and communications.

If these expectations go unmet, trust erodes. Donors lose confidence when AI makes fundraising feel transactional rather than mission‑centered and relationship‑based.

Nonprofits can minimize risk with clear boundaries and expectations to:

  • Keep person‑to‑person engagement at the center of all donor relationships.
  • Stay attuned to donors’ changing attitudes toward AI.
  • Communicate honestly and transparently about the organization’s AI use.
  • Use AI primarily behind the scenes, not in direct cultivation, solicitation, or stewardship.
  • Protect donor privacy and confidentiality; avoid donor‑identifiable inputs in public AI applications.
  • Audit analytical and predictive models to prevent unintended bias or inequity.
  • Use authentic (never AI‑fabricated) stories, images, voices, or testimonials.
  • Clearly identify chatbots as automated tools.
  • Provide continuous staff training on safe, ethical, and evolving AI practices.

Trust is important for all organizations but vital for donor‑dependent nonprofits. A breach of trust damages the donor-organization relationship, and donors rarely continue supporting organizations whose integrity they no longer trust. Once trust erodes, it is exceptionally difficult to repair.