Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 1, 2025Organizational Research MethodsOpen Access

Generative Artificial Intelligence in Qualitative Data Analysis: Analyzing—Or Just Chatting?

View Full Paper
Ask AI
Bookmark
Share

Authors

DNDavid T. NguyenCWCatherine Welch

Discussion

Loading...

Member takes

Overview

Analysis reveals risks of adopting generative artificial intelligence in qualitative data research, highlighting necessary human interpretation.

Key Points

  • The adoption of generative artificial intelligence in qualitative data analysis introduces significant epistemic risks.
  • Automated coding and thematic analysis with large language models were found to be limited in effectiveness.
  • Our analysis contrasts technological potential with the inherent need for human interpretation in qualitative research.
  • Evaluating generative AI tools raises concerns about their appropriateness for nuanced qualitative data analysis.

Cite This Study

Nguyen et al. (2025) studied this question.

synapsesocial.com/papers/68dd91cbfe798ba2fc4989b3https://doi.org/10.1177/10944281251377154
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry2025
  2. 2Prompting for Meaning: Exploring Generative <scp>AI</scp> Tools for Qualitative Data Analysis in Leadership Research2025
  3. 3<i>It might be able to produce a text, but it’s not able to produce knowledge</i> : qualitative researchers’ perspectives on the use of Generative AI in research2025
  4. 4Artificial intelligence and the end(s) of qualitative data analysis2025
  5. 5Artificial Intelligence and Qualitative Data Analysis: Epistemological Incongruences and the Future of the Human Experience2025