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<p>Many advances and good work in research have been made possible by the advent of new and powerful AI tools. However, these tools could also be misused to gain unlawful or illegitimate advantages and generate fraudulent work and publications. Here, such misuses of AI, including AI usage rules/guideline violations such as non-disclosure, Aigiarism, violations of research integrity by individuals to mass production of subpar/fabricated publications, as well as unlawful use of AI in peer-review and other relevant topics such as prompt injections are briefly reviewed. We shall explore mitigating measures against AI misuse, including the arms race in the detection of AI-use, as well as regulatory and educational strategies or approaches to promote responsible AI use. A new normal of AI-enhanced research activity and productivity must include effective mitigation of AI misuse in research and academic publishing. Curbing AI misuse in academic publishing requires a community-wide effort, and a 4-layed framework (gatekeeping/filtering, identification/purging, punishment/sanctions and AI ethics promotion) is hereby proposed.</p>

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Misuse of Generative AI in Academic and Research Publishing

  • 期刊论文

  • 发表日期：

    2026年6月29日

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  • Bor Luen Tang

摘要

Many advances and good work in research have been made possible by the advent of new and powerful AI tools. However, these tools could also be misused to gain unlawful or illegitimate advantages and generate fraudulent work and publications. Here, such misuses of AI, including AI usage rules/guideline violations such as non-disclosure, Aigiarism, violations of research integrity by individuals to mass production of subpar/fabricated publications, as well as unlawful use of AI in peer-review and other relevant topics such as prompt injections are briefly reviewed. We shall explore mitigating measures against AI misuse, including the arms race in the detection of AI-use, as well as regulatory and educational strategies or approaches to promote responsible AI use. A new normal of AI-enhanced research activity and productivity must include effective mitigation of AI misuse in research and academic publishing. Curbing AI misuse in academic publishing requires a community-wide effort, and a 4-layed framework (gatekeeping/filtering, identification/purging, punishment/sanctions and AI ethics promotion) is hereby proposed.