Qualitative Methods in Statistics and Methodology: Artificial Intelligence (AI)

Abstract

This paper explores the potential of applying artificial intelligence (AI) in the qualitative research framework to enhance the quality of data analysis and theory advancement based on eight professors' answers and points of view from different countries. It examines how qualitative research can be utilized in areas such as health policy and education, ethical issues, and the biases involved with using AI. While AIs like ChatGPT can perform certain data analysis activities, critical analysis involving the interpretation of data will always require the human brain. The paper underscores the importance of human supervision in AI-driven research, ensuring the depth and interpretative propensity of the research. This emphasis on the indispensable role of human oversight in AI-driven research is intended to underline the importance of the readers' expertise and experience. It also describes the issues related to the application of AI in qualitative research, such as interpretive philosophy. The paper proposes a potential solution: to balance AI and human knowledge, thereby reassuring the audience about the continued significance of their role in the research process.

Acknowledgment
The investigators thank C3S Business School in Barcelona, Spain, for their support.