Efficient, explicatory, and equitable: why qualitative researchers should embrace ai, but cautiously

Shafiullah Anis; Juliana A. French

doi:10.1177/00076503231163286

Efficient, explicatory, and equitable: why qualitative researchers should embrace ai, but cautiously

Shafiullah Anis, Juliana A. French

Malaysia School of Business

Research output: Contribution to journal › Comment / Debate › Other › peer-review

27 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1139-1144
Number of pages	6
Journal	Business & Society
Volume	62
Issue number	6
DOIs	https://doi.org/10.1177/00076503231163286
Publication status	Published - Jul 2023

Keywords

AI-assisted qualitative research
algorithmic failure
artificial intelligence
efficient research
equitable research
large qualitative data

Access to Document

10.1177/00076503231163286Licence: CC BY

455198601-oaFinal published version, 129 KBLicence: CC BY

Cite this

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abstract = "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.",

keywords = "AI-assisted qualitative research, algorithmic failure, artificial intelligence, efficient research, equitable research, large qualitative data",

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KW - efficient research

KW - equitable research

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Efficient, explicatory, and equitable: why qualitative researchers should embrace ai, but cautiously

Abstract

Keywords

Access to Document

Other files and links

Workshop at AI-Assisted Qualitative Research, UPES-Dehradun, India

Artificial intelligence can be a tool to help the oppressed

When algorithms have biases: Can political AI be tamed?

Business and Society-Best Paper Award - Special Mention

Cite this

Efficient, explicatory, and equitable: why qualitative researchers should embrace ai, but cautiously

Abstract

Keywords

Access to Document

Other files and links

Activities

Workshop at AI-Assisted Qualitative Research, UPES-Dehradun, India

Press/Media

Artificial intelligence can be a tool to help the oppressed

When algorithms have biases: Can political AI be tamed?

Prizes

Business and Society-Best Paper Award - Special Mention

Cite this