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Abstract：
Natural language processing (NLP) has been studied in computing for decades. Recent technological advancements have led to the development of sophisticated artificial intelligence (AI) models, such as Chat Generative Pre-trained Transformer (ChatGPT). These models can perform a range of language tasks and generate human-like responses, which offers exciting prospects for academic efficiency. This manuscript aims at (i) exploring the potential benefits and threats of ChatGPT and other NLP technologies in academic writing and research publications; (ii) highlights the ethical considerations involved in using these tools, and (iii) consider the impact they may have on the authenticity and credibility of academic work. This study involved a literature review of relevant scholarly articles published in peer-reviewed journals indexed in Scopus as quartile 1. The search used keywords such as \"ChatGPT,\" \"AI-generated text,\" \"academic writing,\" and \"natural language processing.\" The analysis was carried out using a quasi-qualitative approach, which involved reading and critically evaluating the sources and identifying relevant data to support the research questions. The study found that ChatGPT and other NLP technologies have the potential to enhance academic writing and research efficiency. However, their use also raises concerns about the impact on the authenticity and credibility of academic work. The study highlights the need for comprehensive discussions on the potential use, threats, and limitations of these tools, emphasizing the importance of ethical and academic principles, with human intelligence and critical thinking at the forefront of the research process. This study highlights the need for comprehensive debates and ethical considerations involved in their use. The study also recommends that academics exercise caution when using these tools and ensure transparency in their use, emphasizing the importance of human intelligence and critical thinking in academic work.
摘要：
自然语言处理（NLP）在计算领域已经研究了几十年。最近的技术进步导致了复杂的人工智能（AI）模型的发展，例如聊天生成预训练变换器(ChatGPT)。这些模型可以执行一系列语言任务，并产生类似人类的反应，这为学术效率提供了令人兴奋的前景。本手稿旨在（i）探索ChatGPT和其他NLP技术在学术写作和研究出版物中的潜在益处和威胁；（ii）强调使用这些工具所涉及的道德考虑，以及(iii)考虑它们可能对学术工作的真实性和可信度产生的影响。这项研究涉及对在Scopus作为四分位数1索引的同行评审期刊上发表的相关学术文章的文献综述。搜索使用了诸如\"ChatGPT,\"\"AI生成的文本,“”学术写作，\"和\"自然语言处理。“分析是使用准定性方法进行的，其中涉及阅读和批判性评估来源，并确定相关数据以支持研究问题。研究发现，ChatGPT和其他NLP技术具有提高学术写作和研究效率的潜力。然而,它们的使用也引起了人们对学术工作真实性和可信度的影响的担忧。该研究强调需要对潜在用途进行全面讨论，威胁,以及这些工具的局限性，强调道德和学术原则的重要性，人类智慧和批判性思维处于研究过程的最前沿。这项研究强调了使用它们所涉及的全面辩论和道德考虑的必要性。该研究还建议学者在使用这些工具时谨慎行事，并确保其使用的透明度，强调人的智慧和批判性思维在学术工作中的重要性。
