Aipedia: Charities and trustees
Charities can use AI to analyse outcomes and draft impact reports, but every figure and claim must be traceable, because funders and donors rely on them. A fabricated statistic or a borrowed result can turn a routine report into a misrepresentation allegation.
Part of: AI in Charities and trustees
In short
Charities use AI to turn monitoring data into outcome statistics, case studies and impact narratives for funders, donors and the annual report. The Charity Commission warns that generative AI output can be inaccurate, plagiarised or biased, and that trustees should keep human oversight to catch material errors. The Fundraising Regulator says the greater the risk of misleading donors, the more transparent a charity should be. A report that overstates results may lead a funder to reclaim money or allege misrepresentation. D&O may respond to a claim, depending on the wording, but dishonesty exclusions and the treatment of grant repayments limit what is covered.
Funders ask for more evidence than small teams can easily produce. AI tools are used to:
Generative tools are good at producing fluent, confident text. They are less reliable at keeping track of where a number came from, and they may fill gaps with plausible figures or attribute a published study's results to the charity's own work.
Illustrative scenario: a charity asks an AI tool to draft its final report on a three-year youth employment grant. The tool reports a job outcome rate that combines the charity's figures with a national study it was given as background. The funder publishes the result in its own annual review. A later evaluation cannot reproduce it, and the funder asks how the figure was calculated and whether its grant was used as described.
Other risks include case studies that merge two people's stories, outcome claims for work done by a partner, and percentages calculated on the wrong base. The same error often spreads into the trustees' annual report and the next grant application, so one mistake can be repeated several times before it is found.
A funder or donor alleging it was misled may bring a claim against the charity or its trustees. Charity D&O or trustee indemnity may respond to defence costs and damages for a negligent misstatement, subject to the terms. Points that commonly decide the outcome:
PI is usually relevant only where the charity provides evaluation or research as a professional service to others. An external evaluator who used AI carelessly may have their own PI.
If impact claims are used in appeals, see AI in fundraising appeals.
Apex arranges D&O, trustee indemnity and PI for charities, and a broker can check how your wording treats misrepresentation allegations and whether it protects the charity itself. See the AI in charities hub.
Yes, but trustees remain accountable for what the report says. The Charity Commission warns AI output can be inaccurate or plagiarised, so every figure should be traced to the charity's own data and checked by someone who knows the programme.
D&O or trustee indemnity may respond to defence costs and damages for a negligent misstatement, subject to the wording. Deliberate or dishonest misstatements are commonly excluded, and repaying a grant is usually not treated as insured loss.
It can be if readers think it describes one real person. The Fundraising Regulator says the greater the risk of misleading donors, the more transparent you should be. Saying a case study is a composite, and getting consent, reduces the risk.
No rule found in the Charity Commission or Fundraising Regulator material requires it for funder reports, but some funders set their own terms. Explaining how figures were produced, and confirming a person checked them, helps if a funder later questions the results.
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