‘Significant Gap’ Between Charities’ AI Use and Board Oversight, Report Suggests

Why It Matters

Trustees are legally liable for AI‑related risks such as data protection and bias, yet governance structures lag behind rapid adoption, exposing charities to compliance and reputational threats. Aligning board oversight with on‑the‑ground AI use is essential to safeguard beneficiaries and maintain public trust.

Key Takeaways

• 76% UK charities use AI informally, per 2025 digital skills report
• Only 3% trustees report AI use, rising to 8% for large charities
• Over 60% charities are in early AI adoption stage
• 36% public view AI in charities positively, 27% negatively
• Trust falls when AI decides who receives charitable support

Pulse Analysis

The charity sector is experiencing an AI surge, with recent surveys showing that three‑quarters of UK nonprofits have dipped their toes into machine‑learning tools, from content generation to data analysis. However, the adoption is largely decentralized; staff and volunteers experiment with off‑the‑shelf solutions without a unified strategy. This grassroots momentum reflects a genuine belief that AI can boost efficiency and outreach, yet it also creates a patchwork of practices that escape formal oversight.

Governance gaps are now a regulatory flashpoint. The Charity Commission reminds trustees that they retain ultimate responsibility for how AI is deployed, especially concerning data protection, safeguarding vulnerable populations, and algorithmic bias. Yet only a handful of boards acknowledge AI use, leaving a liability vacuum that could trigger compliance breaches or erode donor confidence. Effective oversight requires board members to develop AI literacy, embed risk‑assessment frameworks, and align technology initiatives with the organization’s mission and ethical standards.

Public sentiment adds another layer of complexity. While roughly a third of adults view AI in charities favorably, a similar proportion remains skeptical, and trust plummets when AI is used to allocate aid. This ambivalence underscores the need for transparency and human‑in‑the‑loop decision‑making. Charities that proactively communicate their AI policies, demonstrate robust data safeguards, and retain human judgment in critical judgments are more likely to preserve credibility and secure continued support.