I agree that AI’s greatest value may be not only faster analysis, but also helping evaluation offices synthesise existing evidence, identify gaps and prioritise where new evaluations are most necessary.
However, efficiency must be matched by institutional readiness, human validation and contextual judgement. The real test is whether AI-supported evidence improves decisions and learning without weakening quality, inclusion or accountability.
RE: Evaluation under pressure : Strengthening evidence use, accountability and learning amidst funding constraints (Joint EvalforEarth-ALNAP discussion)
Kenya
JACKLINE MUSUYA
Monitoring and Evaluation Lead
Hewatele Limited
Posté le 21/10/2026
I agree that AI’s greatest value may be not only faster analysis, but also helping evaluation offices synthesise existing evidence, identify gaps and prioritise where new evaluations are most necessary.
However, efficiency must be matched by institutional readiness, human validation and contextual judgement. The real test is whether AI-supported evidence improves decisions and learning without weakening quality, inclusion or accountability.