GAIDeT – Making AI Use in Research Visible, Comparable and Reusable
Abstract
This poster was presented at the 30th Annual International Conference on Science and Technology Indicators (STI-ENID 2026), held in Antwerp, Belgium, 9–11 September 2026. The poster presents GAIDeT as an approach for moving from narrative generative AI-use disclosures towards structured, machine-readable research information. It illustrates how GAIDeT-based descriptions could become reusable metadata within scholarly infrastructures and provide contextual information for scientometrics and research evaluation. This poster accompanies the conference paper From citation metrics to LLM judgement: a GAIDeT-based framework for structured AI disclosure.
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Authors: Serhii Nazarovets, Yana Suchikova, Natalia Tsybuliak, Jaime A. Teixeira da Silva
Institutions: Borys Grinchenko Kyiv Metropolitan University, Berdyansk State Pedagogical University