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In recent years, artificial intelligence (AI) and machine learning have been transforming the landscape of scientific research. Out of which, the chatbot technology has experienced tremendous advancements in recent years, especially with ChatGPT emerging as a notable AI language model. This comprehensive review delves into the background, applications, key challenges, and future directions of ChatGPT. We begin by exploring its origins, development, and underlying technology, before examining its wide-ranging applications across industries such as customer service, healthcare, and education. We also highlight the critical challenges that ChatGPT faces, including ethical concerns, data biases, and safety issues, while discussing potential mitigation strategies. Finally, we envision the future of ChatGPT by exploring areas of further research and development, focusing on its integration with other technologies, improved human-AI interaction, and addressing the digital divide. This review offers valuable insights for researchers, developers, and stakeholders interested in the ever-evolving landscape of AI-driven conversational agents. This study explores the various ways ChatGPT has been revolutionizing scientific research, spanning from data processing and hypothesis generation to collaboration and public outreach. Furthermore, the paper examines the potential challenges and ethical concerns surrounding the use of ChatGPT in research, while highlighting the importance of striking a balance between AI-assisted innovation and human expertise. The paper presents several ethical issues in existing computing domain and how ChatGPT can invoke challenges to such notion. This work also includes some biases and limitations of ChatGPT. It is worth to note that despite of several controversies and ethical concerns, ChatGPT has attracted remarkable attentions from academia, research, and industries in a very short span of time. [ABSTRACT FROM AUTHOR]

This article discusses the potential benefits and challenges of integrating ChatGPT, an artificial intelligence tool, in early career research scholarship. While concerns about intellectual property and misinformation are valid, the author argues that ChatGPT can serve as a supplemental aid for early career researchers, helping them refine hypotheses, conduct literature reviews, and articulate complex ideas. The article also emphasizes the importance of understanding the underlying mechanics of AI tools and suggests that ChatGPT can be used to demystify AI and make it more accessible. Overall, the author believes that with proper training and boundaries, AI tools like ChatGPT can be valuable allies in research. [Extracted from the article]

ChatGPT and similar AI tools can be harnessed to improve the efficiency of the scientific writing process by providing initial drafts, checking language, grammar, and spelling [[4]]. Future research, utilizing larger sample sizes and the most updated AI versions, is necessary for a comprehensive and accurate understanding of the capabilities of such AI tools in scientific writing [[3]]. [Extracted from the article]

AI's role in FMEA also opens the door for exploration of other potential intersections between AI and industrial processes. Given the pace of AI advancement, a future where AI and ML technologies are integral to a wide range of industrial operations is not only conceivable but likely. [Extracted from the article]