Suchikova, Y. and Tsybuliak, N. and Teixeira da Silva, J. A. and Nazarovets, S. (2025) GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing Accountability in Research. ISSN 0898-9621
Full text not available from this repository.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. Methods: This study introduces the Generative AI Delegation Taxonomy (GAIDeT), informed by existing contributor role taxonomies, peer-reviewed literature, and an iterative consensus-building approach. It categorizes GAI’s contributions at macro and corresponding micro levels, specifying the degree of human oversight required. Results: GAIDeT provides a structured framework for documenting GAI’s role in scholarly research. It classifies research activities into key domains–conceptualization, literature review, methodology, data analysis, writing, supervision, and ethical review–ensuring transparency and human accountability. A GitHub-based interactive tool–the GAIDeT Declaration Generator–was developed to help researchers document delegation choices transparently. Conclusions: 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Human-AI collaboration; Large language models; research workflow; taxonomy |
| Subjects: | Статті у базах даних > Scopus > У виданнях Q1 Scopus |
| Divisions: | Бібліотека |
| Depositing User: | Сергій Андрійович Назаровець |
| Date Deposited: | 19 Aug 2025 13:20 |
| Last Modified: | 19 Aug 2025 13:20 |
| URI: | https://elibrary.kubg.edu.ua/id/eprint/52942 |
Actions (login required)
 |
View Item |