One of the most intriguing frontiers in contemporary research is the application of Generative Artificial Intelligence (GenAI) in qualitative research. This technological advance offers tools that can complement the work of researchers in generating data, developing simulations, and analyzing complex information. Imagine the ability to model interviews with avatars that learn and adapt in real time or to automatically generate codes and themes from vast qualitative narratives. Indicate what you think about these issues.
1. While GenAI can increase efficiency and reveal unexpected patterns, it also raises fundamental questions related to data authenticity and reliability. How can we ensure that the ‘voices’ created by GenAI accurately represent the perspectives of research participants?
2. What is the impact of GenAI on the interpretation and representation of human experiences?
3. What ethical implications does GenAI represent in qualitative research?
4. How do you and your research team use GenAI for qualitative research and what practical implications does it have?
5. How can we develop protocols and guidelines that ensure GenAI is applied ethically and responsibly?
6. It is essential to recognize and mitigate any bias built into GenAI algorithms that may distort or oversimplify the richness of human experiences. How can these biases be mitigated?
7. What will be the role of GenAI in qualitative research in the future?
Thanks in advance for your comments.
I have attached an open-access article of mine, which addresses several of the issues you raise.
Many of your questions seem to be related to concerns about bias and what are known as "hallucinations," but I think most of those problems arise when asking general queries that rely on the programs' training on internet data. I have not seen anything like that when analyzing my own data.
Dear Doctor
Go To
How Can Generative AI (GenAI) Enhance or Hinder Qualitative Studies? A Critical Appraisal from South Asia, Nepal
Niroj Dahal
The Qualitative Report, 29(3).
Year 2024
[Generative artificial intelligence (GenAI) is significantly reshaping the field of research, with qualitative research no exception. In recent trends, GenAI has been used in qualitative research for various purposes, such as automating data collection, coding, analysis, and generating insights. Using GenAI can result in fresh perspectives, a deeper comprehension of human behavior and experience, and cognitive and evaluative skills.
GenAI can boost researchers’ creativity and innovation and the quality and impact of their research findings. Next, GenAI or AI has the potential to automate various tasks in qualitative research, including data collection, coding, and analysis. This can allow researchers to dedicate their attention to the research process's more creative and strategic aspects.
Automating data collection is a valuable tool for gathering qualitative data from various sources, including social media platforms and other online forums. GenAI tools ChatGPT, Google Bard, and Bing Chat can assist researchers in efficiently and effortlessly collecting substantial amounts of data. GenAI or AI tools can help code and analyze qualitative studies and their associated data. These tools can assist researchers in identifying patterns and relationships in the data that would be challenging or impossible for humans to detect . Utilizing GenAI to generate insights is an additional aspect of qualitative data analysis. This can assist researchers in gaining new and innovative insights into human behavior and experience.]
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