Scholarly Kitchen: Taxonomy of Delegation: How GAIDeT Reframes AI Transparency in Science, an Interview with Yana Suchikova

In the article for The Scholarly Kitchen, Frances Pinter, SUPRR Founder interviews Professor Yana Suchikova, Vice-Rector for Research at Berdyansk State Pedagogical University on the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.

“AI transparency is not about shame; it’s about intellectual honesty. GAIDeT was created to help researchers clearly describe any assistance they received from AI during research or publication. It maps the research and publishing process into macro-level stages (e.g., literature review, data processing, writing) and micro-level tasks (e.g., coding, translation, proofreading, editing, drafting conclusions). Authors simply indicate at which stage AI was used and for what task. This way, the declaration makes it clear that AI functioned as a research instrument, not as an autonomous author.”

To read the full interview please follow the link.