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Times Higher Education on BSPU’s GAIDeT: “Why universities must lead on honest AI disclosure”

Times Higher Education on BSPU’s GAIDeT: “Why universities must lead on honest AI disclosure”

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9 September 2025

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The global higher education outlet Times Higher Education (THE) has published a feature article about the GAIDeT taxonomy, developed by researchers from Berdyansk State Pedagogical University together with their colleagues. The piece is titled “Why universities must lead on honest AI disclosure and how a new tool can help” and emphasizes the importance of GAIDeT as a practical system for declaring the role of AI in research openly and responsibly.

According to THE, publishers and regulators are increasingly calling for transparency in the use of generative AI, but calls alone do not create workable standards. Universities, the article argues, are in a unique position to set the rules and embed responsible AI practices into academic life.

The GAIDeT taxonomy is compared to the well-known CRediT system, which standardised how human contributions are recorded in scientific papers. Just as CRediT clarified authorship roles, GAIDeT breaks down the research process into macro-level stages (such as methodology, data management, writing, or ethics) and micro-level tasks (for example, designing a research protocol, validating data, or proofreading). This allows researchers to state exactly which tasks were delegated to AI and under what level of human oversight.

THE highlights that one of the most common areas of delegation is text work: writing, editing, translation, and style adjustments. With GAIDeT, such tasks can be reported transparently without implying that AI acted as an author.

The article also presents the GAIDeT Declaration Generator, a free online tool that produces ready-made disclosure statements for manuscripts, dissertations, or reports. THE notes that by embedding GAIDeT into institutional policies, universities can foster a culture of openness, reduce stigma around AI use, and ensure that integrity in science keeps pace with technological change.

As the article concludes, the reputation of science in the age of AI will depend not only on the quality of data and arguments but also on honesty about methods and tools.

This is not just a so-called ‘report on the report’, it is a marker of attention, recognition and respect from the global community towards the work of the scientists at BSPU and esteemed colleagues. This is a step towards open science.

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