GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing.

Journal: Accountability in research
Published Date: Aug 8, 2025

Abstract

BACKGROUND: The integration of generative artificial intelligence (GAI) in research raises concerns about transparency, accountability, and task delegation. While frameworks such as CRediT and the NIST AI Use Taxonomy address contributions to research, they either exclude AI-assisted input (CRediT) or do not provide a stage-specific approach (NIST). A structured taxonomy is needed to delineate GAI's contributions across research stages while preserving human oversight and research integrity.

Authors

  • Yana Suchikova
    Vice-Rector for Research, Berdyansk State Pedagogical University, Zaporizhzhia, Ukraine.
  • Natalia Tsybuliak
    Department of Applied Psychology and Speech Therapy, Berdyansk State Pedagogical University, Zaporizhzhia, Ukraine.
  • Jaime A Teixeira da Silva
    Independent Researcher, Kagawa-ken, Japan.
  • Serhii Nazarovets
    Library, Borys Grinchenko Kyiv Metropolitan University, Kyiv, Ukraine.

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