Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World

Ojelanki Ngwenyama and Frantz Rowe ()
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Ojelanki Ngwenyama: Ryerson University [Toronto]
Frantz Rowe: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université

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Abstract: In this paper, we revisit the issue of collaboration with artificial intelligence (AI) to conduct literature reviews and discuss if this should be done and how it could be done. We also call for further reflection on the epistemic values at risk when using certain types of AI tools based on machine learning or generative AI at different stages of the review process, which often require the scope to be redefined and fundamentally follow an iterative process. Although AI tools accelerate search and screening tasks, particularly when there are vast amounts of literature involved, they may compromise quality, especially when it comes to transparency and explainability. Expert systems are less likely to have a negative impact on these tasks. In a broader context, any AI method should preserve researchers' ability to critically select, analyze, and interpret the literature.

Date: 2024
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Published in Journal of the Association for Information Systems, 2024, 25 (1), pp.122-136. ⟨10.17705/1jais.00869⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04820922

DOI: 10.17705/1jais.00869

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