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This research delves into the dynamic role of ChatGPT and similar large language models within the realm of education. It sheds light on their set of limitations, ethical concerns, and challenges that must be addressed thoughtfully, offering a comprehensive exploration of their implications in various educational contexts and the evolving landscape of teaching, research, and scholarly communication. The paper initiates its exploration by investigating how ChatGPT can be applied in scientific writing and publishing. Furthermore, the paper critically assesses the constraints associated with utilizing ChatGPT in education. It acknowledges the model's limitations in generating authoritative content, comprehending complex subject matter, and ensuring information accuracy. These limitations, thoroughly examined, present substantial obstacles to the integration of ChatGPT into educational practices. The research also addresses the ethical dilemmas and potential pitfalls that arise from a heavy reliance on generative AI in education. It delves into issues of bias, accountability, and the dissemination of misinformation. These considerations emphasize the importance of maintaining human agency and oversight in educational settings, promoting the responsible use of AI. The paper further explores the impact of ChatGPT on academic research, both in terms of augmenting research productivity and potential risks to the rigor and authenticity of scholarly work. Strategies and tools for detecting and mitigating instances of academic misconduct involving AI-generated content are examined in detail. Additionally, the research investigates the role of ChatGPT in …