Paper Number
ICIS2025-2370
Paper Type
PDW
Abstract
After highlighting the strengths and limitations of current AI approaches, current corresponding solutions to support literature reviews will be presented. We will focus on solutions that are destined to an academic audience and we will compare them on dimensions such as system transparency, input data, user control, output presentation, functionality. Hybrid neuro-symbolic systems, which combine transparently logical reasoning for clustering literature with pattern recognition for synthesizing it will be introduced. The focus will then be ARTIREV (https://www.scanlitt.com/), a hybrid AI tool integrating a bibliometric expert system coupled with fine-tuned generative AI (SOCRATES) offering improved transparency, exhaustivity, and reliability. Attendees will experiment with ARTIREV to conduct, on the spot, a literature review on the subject of their choice. They will critically assess the capabilities of the proposed tool, while benchmarking it against any other AI solution of their choice.
Recommended Citation
Rowe, Frantz and Walsh, Isabelle, "Trustworthy AI to conduct literature reviews" (2025). ICIS 2025 Proceedings. 6.
https://aisel.aisnet.org/icis2025/pdw/pdw/6
Trustworthy AI to conduct literature reviews
After highlighting the strengths and limitations of current AI approaches, current corresponding solutions to support literature reviews will be presented. We will focus on solutions that are destined to an academic audience and we will compare them on dimensions such as system transparency, input data, user control, output presentation, functionality. Hybrid neuro-symbolic systems, which combine transparently logical reasoning for clustering literature with pattern recognition for synthesizing it will be introduced. The focus will then be ARTIREV (https://www.scanlitt.com/), a hybrid AI tool integrating a bibliometric expert system coupled with fine-tuned generative AI (SOCRATES) offering improved transparency, exhaustivity, and reliability. Attendees will experiment with ARTIREV to conduct, on the spot, a literature review on the subject of their choice. They will critically assess the capabilities of the proposed tool, while benchmarking it against any other AI solution of their choice.
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Comments
27-PDW