GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing
By standardizing GAI task delegation, GAIDeT enhances research integrity and transparency. Future work should focus on empirical validation, cross-disciplinary adaptability, and policy implications for GAI governance.
Authors
- Сергій Андрійович Назаровець (ORCID: https://orcid.org/0000-0002-5067-4498)
- Natalia Tsybuliak (ORCID: https://orcid.org/0000-0003-2474-8614)
- Yana Suchikova (ORCID: https://orcid.org/0000-0003-4537-966X)
- Jaime A. Teixeira da Silva (ORCID: https://orcid.org/0000-0003-3299-2772)
Institutions
- Ikenobo Junior College (JP)
- Borys Grinchenko Kyiv Metropolitan University (UA)
- Berdyansk State Pedagogical University (UA)
Publication Details
- Journal
- Accountability in Research
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1080/08989621.2025.2544331
- Citations
- 13
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 9.16