In qualitative research with AI, uncertainty should not be eliminated but made visible, because doubt, ambiguity, and even absences in the data can constitute relevant information.
Qualitative research has often been characterized by a paradox: while it claims to be open to complexity, ambiguity, and the emergence of social phenomena, it frequently ends up reproducing predictable, incremental, and overly controlled analytical trajectories…