AI vs Human Coding in Evaluation: Trade-offs, Trust, and the Limits of Delegation
Conferência | Online
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Organizado por:
Tetra Tech International Development
Sobre o evento
AI is reshaping how qualitative evidence is produced, raising questions about reliability and trust. Drawing on a pilot from the LIFT MERL research in Rwanda, this session examines the trade-offs and complementarities between AI-assisted qualitative coding (using AILYZE) and manual coding by trained researchers. The online session will present key findings and lessons, followed by guided group discussions on the use of AI in MEL.
Orador/a
| Nome | Título | Biography |
|---|---|---|
| Youngjin Kim | Consultant | Youngjin Kim is a consultant at Tetra Tech in London, specialising in monitoring, evaluation, and learning (MEL) for international development. Her work focuses on mixed-methods research and the integration of AI-assisted approaches into qualitative evaluation. www.linkedin.com/in/youngjinkimm |