AI-Supported Individual Interviews: opportunities and Threats for Evaluation

This article presents a comprehensive literature review of the opportunities and challenges associated with using AI to support qualitative evaluation, particularly semi-structured in-depth interviews. By analysing experiences across six stages of the interview process—planning, protocol development, sampling and recruitment, data collection, transcribing and analysis—the study explores the potential of AI in improving efficiency, scalability, and accuracy of qualitative studies. Key findings highlight AI’s capacity to streamline transcription and coding processes while addressing limitations such as contextual understanding and emotional nuance. However, the reliance on human oversight, ethical concerns necessitate further research. This review underscores AI’s role as a complementary tool, enhancing qualitative methods rather than replacing human expertise.