The misuse of artificial intelligence in mycological manuscripts: An editorial perspective
Belle Damodara Shenoy
Abstract: The 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 Common issues observed in submitted manuscripts include the generation of fabricated references, the perpetuation of outdated taxonomic classifications, inconsistent grammar, and a notable lack of critical authorial synthesis.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.
MycoIndia 2(1):1–2.
Can we create a truly unified fungal taxonomy portal?
Rohit Sharma, Belle Damodara Shenoy
Abstract: Fungal taxonomy remains fragmented and inadequately resourced, lacking a unified, sequence-validated, and clinically actionable framework akin to the List of Prokaryotic names with Standing in Nomenclature (LPSN). As fungal pathogens pose growing threats to global health, agriculture, and ecosystems, an integrated taxonomy platform is urgently needed, one that links nomenclature, DNA barcodes, type strains, literature, and metadata. This article proposes a Unified Fungal Taxonomy Portal (UFTP), grounded in open-access principles, international collaboration, and bioinformatic interoperability. The UFTP would improve species identification, enhance diagnostic precision, and support antifungal stewardship, meeting taxonomic, medical, and non-medical imperatives of the 21st century.
MycoIndia 2(1):3–7.
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