NEW CHALLENGES FROM GENERATIVE ARTIFICIAL INTELLIGENCE: FABRICATION, FALSIFICATION AND PLAGIARISM
DOI:
https://doi.org/10.55003/JIE.25103Keywords:
Generative artificial intelligence, Fabrication, Falsification, Plagiarism, Technology ethicsAbstract
Generative Artificial Intelligence (GenAI), built on the Transformer architecture, presents substantial challenges to academic integrity and intellectual property protection. Three distinct misconduct patterns are identified. Fabrication occurs in three forms: authorial style imitation falsely attributed to legitimate authors, fabricated academic articles structured to appear credible, and synthetic online identities designed to mislead readers. Falsification arises when AI manipulates source material until its original meaning is lost, with decontextualized summarization producing systematic factual distortion. Plagiarism has become increasingly difficult to detect, as AI-generated paraphrasing circumvents conventional detection software, while unauthorized use of copyrighted material for model training remains legally unresolved. For 16 detection tools tested, only Copyleaks, Turnitin, and Originality.ai achieved consistently high accuracy, and existing tools misclassified over half of non-native English writers' texts as AI-generated, indicating significant detection bias against Thai and non-Anglophone scholars. No tool exists for Thai-language detection. An integrated framework addressing legal reform, detection technologies, educational strategies, platform governance, and public policy is proposed.
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