Efficient, explicatory, and equitable: why qualitative researchers should embrace AI, but cautiously
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Qualitative researchers, particularly those researching business and society topics, should embrace artificial intelligence (AI) to conduct efficient, explicatory, and equitable research but also exercise caution to avoid its pitfalls.
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AI serves to facilitate rather than replace research endeavours.
“In navigating the ethical implications of qualitative research, researchers should take into consideration that AI serves to facilitate rather than replace research endeavours (Anis & French, 2023).”
From Quality Criteria: General and Specific Guidelines for Qualitative Approaches in Psychology Research. A Concise Guide for Novice Researchers and Reviewers (2024) · cites this paper as Anis & French, 2023
AI can help researchers in analyzing vast amounts of data from patients' treatment charts, laboratory reports, and textual feedback from students, and extract relevant information needed for research followed by sorting out the data in a structured manner for statistical analysis.
“AI can also help researchers in analyzing vast amounts of data from patients’ treatment charts, laboratory reports, and textual feedback from students, and extract the relevant information needed for the research followed by sorting out the data in a structured manner for statistical analysis [36,37].”
From Artificial Intelligence Revolutionizing the Field of Medical Education (2023) · cites this paper as [37]
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“For further exploration of AI and ethics in qualitative research, readers are encouraged to consult Anis & French (2023); Bouhouita-Guermech et al. (2023).”
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- Authors
- Anis, S., & French, J. A.
- Affiliations
- Monash University Malaysia (MY)
- Corresponding author
- Anis, Shafiullah
- Venue
- Business & Society
- Publisher
- SAGE Publications
- Published
- 2023-03-28
- Volume
- 62
- Issue
- 6
- Pages
- 1139-1144
- ISSN
- 0007-6503 (ISSN-L)
- 1552-4205
- OpenAlex
- W4361212561
- Cited by
- 75
- References
- 5
- Citations by year
- 2026: 24 · 2025: 31 · 2024: 16 · 2023: 4
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Business & Society (publishedVersion, cc-by)
- Monash University Research Portal (Monash University) (submittedVersion, cc-by)
- Topics
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Social Sciences › Education › Qualitative Research Methods and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, qualitative research, research efficiency, research equity, research ethics
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