AI in QDA Bibliography

QDA Bibliography

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Peer reviewed 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.
• 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.
• Gamieldien, Y et al (2023). Advancing Qualitative Analysis: An Exploration of the Potential of Generative AI and NLP in Thematic Coding. SSRN Electronic Journal.  
• 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.
• 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.
• 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. 
• Montrosse-Moorehead, B. (2023). Evaluation criteria for artificial intelligence. New Directions in Evaluation, 123-134.
• 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. 
• 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.
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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.