AI for Impact.
A clearer perspective on AI. For the people making a difference.
Find your next useful readThe last responsible handover
AI governance becomes real at the moment evidence, authority and accountability move. A practical operating guide for charities and humanitarian organisations building agentic services without losing the human thread.
A useful read. A clearer next move.
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Ideas worth your attention.
More traffic. But is it more impact?
AI bots are changing what website traffic tells us. For charities, the useful question is what real people do next.
11 Sept 2026
001The Governance SeriesThe human judgement advantage.
A practical field guide for charities and humanitarian teams: what the evidence supports, how quality compounds, and where human judgement must hold. Research, worked calculations and a ninety-day operating plan.
13 Sept 2026
Better AI starts between your systems.
A practical lesson from HDX: make the information usable before making the workflow clever.
11 Sept 2026
Put people’s rights in the brief. From day one.
What UNICEF’s guidance on children and AI means for the questions you ask before a pilot.
11 Sept 2026
Equity belongs in the brief. And in the room.
A useful AI system should work for the people most likely to be overlooked. That starts with who gets to shape it.
11 Sept 2026
Give volunteers time. Give coordinators clarity.
The most valuable automation may be the one that makes it easier for people to show up and help.
11 Sept 2026
Better hiring starts with a better question.
Use AI to help reviewers understand evidence, while keeping hiring decisions accountable to people.
11 Sept 2026
Less reconciliation. More room to think.
Start finance automation with the repeated handovers that consume attention—and the review points that protect trust.
11 Sept 2026
Donor trust grows from a clearer journey.
A meaningful update connects a supporter to verified progress, with care for the people whose stories are being shared.
11 Sept 2026
Better programme insight starts with a shared question.
Bring programme and technology teams around the decision they need to support, before designing the dashboard.
11 Sept 2026
Turn a new idea into a useful first question · AI in practice
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
Turn a new idea into a useful first question · AI in practice
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
Turn a new idea into a useful first question · AI in practice
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
Turn a new idea into a useful first question · AI in practice
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
AI funding needs an organisation ready to use it.
A grant can pay for technology without creating the capacity to use it well. For charities and NGOs, AI funding readiness means a credible delivery plan, accountable ownership and room to learn.
8 Oct 2026
Turn a new idea into a useful first question · AI in practice
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
USTDA Wrote the AI RFP Clause the Rest of Government Should Copy Now
For a purpose-led organisation, the useful question is who benefits, who bears the risk and who stays accountable. AI should make that answer clearer.
The machines must not choose who dies: a humanitarian case for disarming AI
For a purpose-led organisation, the useful question is who benefits, who bears the risk and who stays accountable. AI should make that answer clearer.
Humanitarian Procurement Was Built to Buy Trucks, Not AI Software
There is a difference between an interesting AI development and a useful next step for your organisation. Connect the idea to a specific problem, a team and an outcome.
Trust is a design decision · Governance & trust
For a purpose-led organisation, the useful question is who benefits, who bears the risk and who stays accountable. AI should make that answer clearer.
15 Oct 2026
Trust is a design decision · Governance & trust
For a purpose-led organisation, the useful question is who benefits, who bears the risk and who stays accountable. AI should make that answer clearer.
A confidence score is not a safety label.
A confident answer can still be wrong, and a cautious answer can still be useful. Before we put a percentage beside an AI recommendation, we should decide what that number means, test whether it holds and show people how to act on it.
30 Sept 2026
A human in the loop is not a safety plan.
Keeping a person responsible matters. Giving them a genuine chance to notice, question and correct a mistake matters just as much. What would it take to make human oversight more than a reassuring phrase?
23 Sept 2026
A model can be accurate and still miss the people who need you.
A successful pilot is evidence about one setting, not a passport to every setting. Before AI shapes eligibility, prioritisation or outreach, test who disappears when the context changes.
14 Oct 2026
AI saved the time. Who gets it back?
For organisations doing good, the promise of AI is not a faster report. It is what becomes possible afterwards. That takes evidence, judgement and a deliberate decision about where the time goes.
14 Sept 2026
If your AI works in English, it has not passed.
A multilingual interface is not the same as a multilingual service. Before an AI workflow reaches the people furthest from head office, we need evidence that its meaning, safeguards and routes to correction travel with it.
11 Oct 2026Trusted feeds are checked daily for new editorial drafts. New articles are reviewed by AIHI before publication. Existing source readings remain available with their original credit and links. AIHI perspectives are our own commentary.
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