AI vs Human Coding in Evaluation: Trade-offs, Trust, and the Limits of Delegation

Conferencia | En línea

Sobre el 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.

Presentador/a

Nombre Título Biografía
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
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Temas

Evaluadores Comisionados de Evaluación Usuarios de evaluación Académicos Sociedad civil Estudiantes Juventud Funcionario / Empleado de Organización Internacional Tema anual: Evaluación, evidencia y confianza en la era de la IA

Detalles del evento

  • 2 de junio, 2026 - 13:00 PM Europe/London
  • United Kingdom
  • English
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