Artificial Intelligence Meets Academic Integrity: Evaluating AI Tools To Support Literature Reviews

Abstract

Every research project and almost every scholarly paper begins with a literature review. A growing number of artificial Intelligence (AI) tools can be used to expedite various steps of the review process, including problem formulation, literature search, screening for inclusion, quality assessment, data extraction, and data analysis and interpretation. The process of conducting literature reviews and the quality of the results obtained may vary according to the AI tools a researcher employs, however, and the academic integrity remains a paramount concern. In this symposium we bring together five panelists, each an expert in the development and/or use of some AI tools, to help establish the state-of-the-art re: AI research tools for reviews and to debate the validity, utility, and ethics involved in using them. Two discussants, well-known for their expertise regarding the effective and ethical conduct of systematic reviews, will emphasize the academic integrity and standards for rigorous and trustworthy reviews and reiterate researchers’ responsibilities in this regard. Overall, this symposium aims to describe and critique available and emergent AI tools and evaluate their alignment with the guidelines researchers must follow when conducting literature reviews.

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