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GAIDeT: a practical taxonomy for declaring AI use in research and . . . GAIDeT divides the research and publication processes into distinct stages and roles where AI might be involved Authors are asked to identify the stage in which the AI tool was used – for instance, during idea generation, literature search, manuscript writing, or even data analysis
GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to . . . 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
How do you disclose the use of Generative AI in your research? In our new paper in Accountability in Research, we present GAIDeT (Generative AI Delegation Taxonomy) — the first taxonomy that systematically describes delegating tasks to generative AI across
Beyond ‘we used ChatGPT’: a new way to declare AI in research At the macro level, GAIDeT covers the main stages of a research project: conceptualisation, literature review, methodology, software development, data management, writing, ethics review and supervision
GAIDeT Declaration Generator To disclose the use of generative AI, fill in the relevant fields, after which the declaration will be generated automatically Copy its text and insert it into your manuscript
Why universities must lead on honest AI disclosure and how a new tool . . . Embed GAIDeT into their AI use policies, making it mandatory for all publications, dissertations and reports Pair implementation with training by running workshops on responsible AI use, including ethics, avoiding bias and preventing the stigmatisation of colleagues for using AI
Guest Post – Taxonomy of Delegation: How GAIDeT Reframes AI . . . AI can help make research clearer, not diminish it By continuing to stigmatize a tool that has already become part of daily work, we corner ourselves That is why we propose a simple but honest alternative: GAIDeT, a taxonomy of delegated tasks
GAIDeT Instruction for Editors and Depositors - Zenodo To address this problem, GAIDeT (Generative AI Delegation Taxonomy) was developed — a taxonomy that allows structured documentation of which tasks were delegated to GenAI, at what stage of research, and always under the full control of the author
Research integrity demands an AI taxonomy GAIDeT offers a simple, task-based way to disclose AI use in theses and research: name the tool and version, the tasks delegated, and who remains responsible It takes a few lines, removes stigma, and turns policy into practice — fast