Artificial intelligence (AI) is becoming part of evaluation practice, from analysing large volumes of data to supporting the way evidence is organised and communicated. But its usefulness depends on something more fundamental: whether we can trust the evidence it helps produce. In evaluation, where credibility depends on the quality and integrity of evidence, inaccurate or distorted outputs can undermine both findings and confidence in the process. So how can evaluators use AI without compromising the trust on which their work depends? On 4 June 2026, the EvalforEarth Community of Practice...
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Grounding AI in Evaluation: What Nepal and Georgia Teach Us About Trustworthy