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

Conférence | En ligne

À propos de l'événement

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.

Conférenciers

Nom Titre 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
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Sujets et thèmes

Évaluateurs Commissaires à l’évaluation Utilisateurs de l’évaluation Universitaires Société civile Étudiants Jeunesse Fonctionnaire / Employé de l’organisation internationale Thème annuel : Évaluation, preuves et confiance à l'ère de l'IA

Detailles de l'événement

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