This chapter explores the built-in Artificial Intelligence tools in NVivo, focusing on semi-automatic and automatic coding features. It discusses how AI can assist in the initial coding phases, potentially accelerating the analytical process in its early stages. The chapter critically examines the implications of AI in qualitative research, debating the balance between automation and researcher oversight. It shows how AI is only partially integrated into the program, is limited to the built-in language libraries and relies on crude statistical associations. NVivo cannot recognise language variants like sarcasm, double negatives, slang, dialect variations, idioms, or ambiguity, implying the researchers need to remain critical of the result of the AI auto-coding tools.

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NVivo and AI: (Semi)-Automatic Coding

  • Dimitri Mortelmans

摘要

This chapter explores the built-in Artificial Intelligence tools in NVivo, focusing on semi-automatic and automatic coding features. It discusses how AI can assist in the initial coding phases, potentially accelerating the analytical process in its early stages. The chapter critically examines the implications of AI in qualitative research, debating the balance between automation and researcher oversight. It shows how AI is only partially integrated into the program, is limited to the built-in language libraries and relies on crude statistical associations. NVivo cannot recognise language variants like sarcasm, double negatives, slang, dialect variations, idioms, or ambiguity, implying the researchers need to remain critical of the result of the AI auto-coding tools.