Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30905
Title: A Critical Perspective Over Whether and How to Acknowledge the Use of Artificial Intelligence (AI) in Qualitative Studies
Authors: Christou, Prokopis A. 
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: AI;artificial intelligence;methodology;qualitative research
Issue Date: 1-Jan-2023
Source: Qualitative Report, 2023, vol. 28, iss. 7, pp. 1981 - 1991
Volume: 28
Issue: 7
Start page: 1981
End page: 1991
Journal: Qualitative Report 
Abstract: There has been a rise in scepticism regarding the use of Artificial Intelligence (AI) in qualitative research tasks such as critical reviews, conceptualization, thematic and content analysis, and potentially theory development. Concerns have been raised over the possibility that researchers intentionally avoid discussing or even mentioning the use of AI in their studies for a variety of reasons, including the "fear" of criticism and rejection of their papers. The purpose of this paper, which is guided by critical perspective principles, is to examine the controversy surrounding the appropriate recognition of AI in theoretical discussions and qualitative research, including conceptual, critical reviews, empirical, and other types of studies of qualitative nature. Prior to a discussion of how to acknowledge the use of AI, the significance of notions of acknowledgment and academic integrity in the context of research are discussed. As the author of this paper, I acknowledge and document the use of both AI and the researcher's cognitive skills in the development of this theoretical critical perspective study through a four-phase process, while giving directions of when and how to acknowledge the use of AI in qualitative studies.
URI: https://hdl.handle.net/20.500.14279/30905
ISSN: 21603715
DOI: 10.46743/2160-3715/2023.6407
Rights: © Prokopis A. Christou and Nova Southeastern University
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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