AI-Augmented Theory Building: Generative Grounded Theory (GGT)
A novel methodology for researchers: Human-AI collaboration in theory construction.
1What is GGT?
Generative Grounded Theory (GGT) proposes a 7-step framework integrating AI into inductive theory building. While leveraging AI for data structuring, coding, and conceptual clustering, it reserves interpretive authority for human researchers. This methodology sparks both excitement and ethical concerns in psychological research.
2Potential in Experimental Research
As Tomaino highlights, GGT offers unique advantages for experimental researchers generating AI-mediated conversational data. It may reveal mechanisms, generate novel research questions, and uncover competing explanations. However, realizing this potential requires active researcher participation.
3The Cognitive Operator Role
Schweidel emphasizes researchers' indispensable role as 'cognitive operators.' GGT's traceability facilitates coordination between qualitative-quantitative teams. Yet he warns against over-reliance on AI, cognitive offloading, and delegating the entire process to autonomous agents.
4The Fallacy of Facility
Dolbec, Fischer, and Smith caution that AI-assisted analysis may create a 'fallacy of facility' where plausible outputs are mistaken for expertise. They warn of methodological simulacrums unless researchers apply substantial qualitative expertise to control AI's distorting capabilities.
5Revolutionizing Data Collection
Puntoni and Schillewaert focus on GGT's transformative impact on data collection. AI moderation may blur traditional boundaries between qualitative interviews and standardized assessment. Their 'living' grounded theory approach integrates sampling with analysis while redefining saturation.
6The Human-AI Balance
All commentaries acknowledge GGT's potential to expand inductive inquiry. However, they agree that critical judgment, transparent documentation, and human oversight remain essential. As AI's role in theory building grows, so must researcher accountability to maintain scholarly rigor.