Editorial guidance highlights the need to address meaning-making and reflexivity in qualitative inquiry, indicating potential governance for environmental risks.
Key Points
This article critiques binary framing in AI use within qualitative research, advocating for a nuanced discussion.
Analysis of recent position statements and editorial guidance on AI in qualitative research.
Theoretical discussion on the implications of AI on meaning-making and reflexivity.
Highlights the limitations of binary perspectives on AI in qualitative research.
Emphasizes the importance of distinguishing AI-led analysis from human-led practices.