AI in QDA Bibliography

QDA Bibliography

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Journal articles

• Anis S & French J.A. (2023). Efficient, explicatory, and equitable: Why qualitative researchers should embrace AI, but cautiously. Business & Society 62(6), 1139-1144.
• Cabanillas-García, J. L., Sánchez-Gómez, M. C., & del Brío-Alonso, I. (2025). Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry. Information, 16(11), 938.
• Christou, P. (2023). Ηow to use artificial intelligence (AI) as a resource, methodological and analysis tool in qualitative research? The Qualitative Report, 28(7), 1968–1980.
• Dahal, N. (2024). How Can Generative AI (GenAI) Enhance or Hinder Qualitative Studies? A Critical Appraisal from South Asia, Nepal. The Qualitative Report 29, 3, Article 6.
• Davison, R.M., et al (2024). Editorial: The ethics of using generative AI for qualitative data analysis. Information Systems Journal, 1-7.
• Franzke, A.S. (2021). An exploratory qualitative analysis of AI ethics guidelines. Journal of Information, Communication and Ethics in Society 20, 4, pp. 401-423.
• Friese, S. (2026). From Coding to Conversation: A New Methodological Framework for AI-Assisted Qualitative Analysis. Qualitative Inquiry, 0(0).
• Friese, S., Nguyen-Trung, K., Powell, S., & Morgan, D. (2025). Beyond binary positions: Making space for critical and reflexive GenAI integration in qualitative research. SSRN.
• Gamieldien, Y et al (2023). Advancing Qualitative Analysis: An Exploration of the Potential of Generative AI and NLP in Thematic Coding. SSRN Electronic Journal.
• Gillings, M., Kohn, T., & Mautner, G. (2024). The rise of large language models: challenges for Critical Discourse Studies. Critical Discourse Studies, 1–17.  
• Hamilton, L., Elliott, D., Quick. A., Smith, S. & Choplin, V. (2023). Exploring use of AI in qualitative analysis: A comparative study of guaranteed income data. International Journal of Qualitative Methods 22 1-13.
• Hayes, A. S. (2025). “Conversing” with qualitative data: Enhancing qualitative research through large language models (LLMs). International Journal of Qualitative Methods, 24.
• Head, C.B., Jasper, P., McConnachle, M., Raftree, L. & Higdon, G. (2023).  Large language model applications for evaluation: Opportunities and ethical implications. New Directions in Evaluation, 33-46.
• Judijanto, L. (2025). Beyond authenticity: Navigating bias, ethics, and methodological frontiers of synthetic data in qualitative healthcare research. Journal of Information System, Technology and Engineering, 3(2), 439–450.
• Jowsey, T., Braun, V., Clarke, V., Lupton, D., & Fine, M. (2025). We Reject the Use of Generative Artificial Intelligence for Reflexive Qualitative Research. Qualitative Inquiry, 0(0).
• Marshall, D. T., & Naff, D. B. (2024). The Ethics of Using Artificial Intelligence in Qualitative Research. Journal of Empirical Research on Human Research Ethics, 19(3), 92–102.
• Mazeikiene, N., & Kasperiuniene, J. (2024). AI-enhanced qualitative research: Insights from Adele Clarke’s situational analysis of TED Talks. The Qualitative Report, 29(9), 2502-2526.
• Mellon, J et al (2023) Do AIs Know What the Most Important Issue is? Using Language Models to Code Open-Text Social Survey Responses At Scale.
• Morgan, D. L. (2023). Exploring the Use of Artificial Intelligence for Qualitative Data Analysis: The Case of ChatGPT. International Journal of Qualitative Methods, 22.
• Morgan DL. (2025) Query-Based Analysis: A Strategy for Analyzing Qualitative Data Using ChatGPT. Qualitative Health Research. 0(0).
• Montrosse-Moorehead, B. (2023). Evaluation criteria for artificial intelligence. New Directions in Evaluation, 123-134.
• Nguyen-Trung, K. (2025). Documenting debates on GenAI in (reflexive) qualitative research. SSRN.
• Rädiker, S. & Kuckartz U (in press) Integrating AI into QDA Software: The Example of MAXQDA. In Friese S & Morgan D (eds.)  Qualitative Data Analysis with Artificial Intelligence: Theory, Methods and Practice. SAGE Publications
• Paulus TM & Marone V (2024) In Minutes Instead of Weeks": Discursive Constructions of Generative AI and Qualitative Data Analysis. Qualitative Inquiry. Published Online May 8th 2024.

Blog posts

• Important Issues for Automated Transcription, David Woods, Lead Developer of Transana. Published on the Transana Blog
• Automated transcription and some risks of machine interpretation, Daniel Turner, Director of Quirkos Software. Published on the Quirkos Blog April 23rd 2023.
• Artificial Intelligence and Machine Learning in Qualitative Analysis, Steve Wright, Independent CAQDAS trainer. Published on Steve's personal blog. June 5th 2024.
• Outsourcing decision making: AI, ethics, and qualitative research. Daniel Turner, Director of Quirkos Software. Published on the Quirkos Blog Feb 1st 2024.
• Navigating the Intersection of Qualitative Analysis and Technology: Strategies Driving Tactics in the Age of AI, Christina Silver, Director of the CAQDAS Networking Project, published on the ATLAS.ti Research Hub, 7th February 2024
• AI's democratisation of qual - the risks and rewards researchers need to know, Hugh Carling, Co-Founder of Liveminds. posted on the Liveminds Blog, 19th April 2024.

Conference proceedings

• Bender E.M et al (2021) On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21). Association for Computing Machinery, New York, NY, USA, 610–623.
• Walsh, S. & Pallas-Brink, J. (2023). The ethnographer in the machine: Everyday experiences with AI-enabled data analysis. EPIC Proceedings 538-554.

Books

• Bender, E. M., & Hanna, A. (2025). The AI con: How to fight Big Tech’s hype and create the future we want. Harper Collins.
• Hao, K. (2025). Empire of AI: Inside the reckless race for total domination. Random House
• Lindgren, S. (2024). Critical theory of AI. Polity Press.