Artificial intelligence (AI) can support many aspects of the evaluation process, but its use also raises important questions about transparency, accountability, and professional judgement. As evaluation professionals working in the fields of food security, environmental protection, and rural development, we need to understand what these developments mean for evaluation practice. In these contexts, evaluators often work with incomplete datasets, sensitive local conditions, tight deadlines, and high levels of accountability. AI can support many aspects of the evaluation process, but its use also...
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AI in Evaluation: What Emerging Evaluators can teach us