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dc.contributor.authorShenoy,B.D.
dc.date.accessioned2025-09-30
dc.date.accessioned2025-09-30T04:44:07Z
dc.date.available2025-09-04
dc.date.available2025-09-30T04:44:07Z
dc.date.issued2025
dc.identifier.citationMycoIndia,vol.2(1);2025;PP: 1�2
dc.identifier.otherhttps://mycoindia.org/volume-2%2C-issue-1
dc.identifier.urihttp://drs.nio.res.in/drs/handle/2264/9543
dc.descriptionIF2024= 0
dc.description.abstractThe integration of Artificial Intelligence (AI) tools, particularly Large Language Models, into the preparation of mycology manuscripts presents both opportunities and significant ethical challenges. As of 2025, their misuse has become an escalating concern, prompting new guidelines from scholarly bodies. Common issues observed in submitted manuscripts include the generation of fabricated references, the perpetuation of outdated taxonomic classifications, inconsistent grammar, and a notable lack of critical authorial synthesis. This paper argues that while AI is a valuable assistant, its use must be governed by rigorous scholarly judgment, ethical transparency, and meticulous verification of all generated content to uphold academic integrity.
dc.languageen
dc.publisherMycoIndia
dc.relation.isreferencedbyNON-SCI
dc.rightsOnly the author version of the copright reserved papers uploaded. Contact drs@nio.org for any complaints regarding copyright violations
dc.titleThe misuse of artificial intelligence in mycological manuscripts: An editorial perspective
dc.typeJournal Article
dc.affiliation.authorCSIR-National Institute of Oceanography, Regional Centre, Visakhapatnam, India


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