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ParadAIse L0st?
| dc.contributor.author | Bannister, Peter | |
| dc.date | 2025 | |
| dc.date.accessioned | 2025-12-17T10:02:28Z | |
| dc.date.available | 2025-12-17T10:02:28Z | |
| dc.identifier.citation | Bannister, P. (2025). ParadAIse l0st? Higher Education Research & Development. https://doi.org/10.1080/07294360.2025.2586653 | es_ES |
| dc.identifier.uri | https://reunir.unir.net/handle/123456789/18608 | |
| dc.description.abstract | This paper explores the relationship between mind and machine at the intersection of Generative Artificial Intelligence (GenAI) and research writing in Higher Education. Through provocative stylistic resistance, the focus here shifts from what GenAI can or cannot produce to the paradoxical human behaviours in response, for instance, the mechanical predictability of narrative arcs prevalent in contemporary GenAI-related scholarship, whether human-produced or not. Whilst recognising the seductive allure of convenience for academics in toxic publish-or-perish cultures, this work accentuates concerning practices of self-censorship particularly among multicultural researchers to avoid GenAI usage accusations. Overzealous AI detection witch hunts are scrutinised as convenient gatekeeping proxies masking deeper concerns of intellectual dishonesty, unearned advantage, and authenticity. Drawing on Milton's Paradise Lost in acknowledgement of having crossed the threshold of no return, the analysis casts GenAI as serpent in linguistic Eden and reframes expulsion as invitation through responsible hybrid co-construction of written work. Challenging the assumption of GenAI tool-using scholars as nothing more than uncritical consumers, this work addresses the broader spectrum of user engagement whereby authentic meaning can be curated from machine-produced hollow rhetoric. At its core, this approach is based on human stewardship, oversight, and accountability where evaluative judgment of outputs remains decisive. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Taylor & Francis | es_ES |
| dc.relation.uri | https://www.tandfonline.com/doi/full/10.1080/07294360.2025.2586653 | es_ES |
| dc.rights | openAccess | es_ES |
| dc.subject | human-AI interaction | es_ES |
| dc.subject | higher education | es_ES |
| dc.subject | hybrid co-construction | es_ES |
| dc.subject | research writing | es_ES |
| dc.subject | scientific authorship | es_ES |
| dc.subject | scholar agency | es_ES |
| dc.title | ParadAIse L0st? | es_ES |
| dc.type | article | es_ES |
| reunir.tag | ~OPU | es_ES |
| dc.identifier.doi | https://doi.org/10.1080/07294360.2025.2586653 |
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