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GenAI Usage Taxonomy

GenAI Usage Taxonomy was introduced with the intention of recognising GenAI contributions during the preparation of a research paper.

To ensure transparency and ethical conduct, authors are required to comply with the CEUR-WS Policy on AI Assisting Tools, providing a Declaration on Generative AI, which includes (i) all the employed tools, and (ii) the specific contributions of GenAI.
In this context, GenAI Usage Taxonomy provides an accurate and detailed account of possible GenAI tools types of contributions.

All authors share the responsibility for providing accurate descriptions of GenAI usage.

The Declaration on Generative AI statement should be provided during the submission process and will appear above the References section of the published paper. Please read CEUR-WS Policy on AI Assisting Tools for more details.

GenAI Contribution Roles

A downloadable summary of the GenAI Usage Taxonomy is available here.

Contribution Description
Drafting content AI can help you write different sections of your paper, such as introductions, literature reviews, or methodology descriptions
Generate images AI can help you generate images for your paper
Text Translation AI can help you in translating your work or reaching a broader audience
Generate literature review AI can help you drafting a literature review section starting from a set of relevant papers
Paraphrase and reword AI can help you express ideas in different ways, ensuring clarity and conciseness
Improve writing style AI can offer suggestions for sentence structure, word choice, and overall flow
Abstract drafting AI can draft a concise abstract that captures the gist of your research
Grammar and spelling check AI can catch errors that you might have missed
Plagiarism detection AI can help you identify potential plagiarism issues in your own writing
Citation management AI can help format citations and references according to specific styles (e.g., APA, MLA)
Formatting assistance AI can ensure your paper adheres to specific formatting guidelines required by journals or institutions
Peer review simulation AI can simulate peer review by providing feedback on the strengths and weaknesses of your paper
Content enhancement AI can suggest additional content or research that could strengthen your arguments


18-Dec-2024
Angelo Salatino (The Open University)
Fabrizio Fornari (University of Camerino)
Prof. Jelena Zdravkovic (Stockholm University)