The legal ramifications surrounding the integration of artificial intelligence into academic writing are a topic of considerable concern. AI, exemplified by platforms like ChatGPT, holds promise in generating articles within the realm of legal studies; however, there exist both advantages and drawbacks to its utilization. One pertinent worry revolves around AI’s ability to grasp complex legal terminology, adapt to evolving legislation, and engage in nuanced argumentation effectively. Moreover, the copyright implications associated with content produced through AI necessitate thorough examination, prompting the exploration of potential solutions.
Artificial Intelligence (AI) based writing tools, like ChatGPT, have recently become increasingly popular due to natural language processing technology advancements. ChatGPT is an AI language model that can generate text close to human writing, making it suitable for tasks such as summarizing literature, composing essays, and producing statistical studies [1].
While the utilization of AI in scientific paper writing has garnered praise for its assistance, apprehensions persist regarding the potential dissemination of erroneous information and instances of academic dishonesty. Particularly worrisome is the overarching impact AI may have on academic publishing, as it poses the risk of de-skilling and undermining core academic functions. This could potentially sideline human involvement in crucial roles such as journal editing and peer review.
However, it is crucial to promote awareness among students and researchers regarding the ethical implications of using AI in academic writing. In the future, the qualification of a text written with ChatGPT/GPT-4 will become more questionable as the border between plagiarism and automated creation is no longer clear [2].
In light of these considerations, it is imperative to meticulously deliberate and regulate the legal dimensions of employing AI in academic writing. Balancing the advantages of AI assistance with safeguards against its potential pitfalls is essential to foster integrity and maintain the quality of scholarly discourse.
AI can greatly benefit researchers by providing unique perspectives through instant access to vast datasets. Large language models, in particular, possess the capability to generate extensive amounts of coherent and grammatically correct text. These models, powered by Natural Language Processing (NLP), are trained on extensive collections of human-generated text, enabling them to emulate human writing styles and language patterns.
AI-based learning tools help students to do academic research, especially in the planning step, to identify and develop the topics, as well as in the drafting step, to develop a paper draft, AI-based learning tools are deemed flexible in accessibility despite not being able to cover all necessities required by students in writing process, students are interested in using AI technology in academic writing class so that learning process will not be boring [3].
This empowers AI and NLPs to swiftly generate paragraphs or even entire sections of a research paper that closely resemble human-authored content. While this ability is both intriguing and somewhat daunting, it offers significant advantages. It streamlines the research process, saving researchers and students substantial time, and simplifies the peer review process.
Overall, the utilization of AI and NLP technologies holds promise in revolutionizing academic research and scholarly writing, offering unprecedented efficiency and productivity gains.
LLMs and AI demonstrate remarkable natural language processing, data analysis, and decision-making capabilities, offering potential benefits such as improved efficiency and transformative solutions [4].
Artificial intelligence (AI) has been revolutionizing various domains of human endeavor, and the scientific writing landscape in nursing research is no exception. Indeed, the increasing pervasiveness of AI tools for research writing offers significant advantages, but it also presents certain challenges [5].
References
Naushad, Ahmad, Khan., Kudaibergen, Osmonaliev. (2023). Pushing the Boundaries of Scientific Research with the use of Artificial Intelligence tools: Navigating Risks and Unleashing Possibilities. Nepal journal of epidemiology, 13(1):1258-1263. doi: 10.3126/nje.v13i1.53721
Stefan, Koos., Sebastian, Wachsmann. (2023). Navigating the Impact of ChatGPT/GPT4 on Legal Academic Examinations: Challenges, Opportunities and Recommendations. Media Iuris, 6(2):255-270. doi: 10.20473/mi.v6i2.45270
Santi, Pratiwi, Tri, Utami., Andayani, Andayani., Retno, Winarni., Sumarwati, Sumarwati. (2023). Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive?. Contemporary Educational Technology, 15(4):ep450-ep450.
(2023). Adapting to the Impact of AI in Scientific Writing: Balancing Benefits and Drawbacks while Developing Policies and Regulations. doi: 10.48550/arxiv.2306.06699
Yasin, Mohammed, Yasin., Areej, Al-Hamad. (2023). Harnessing AI for enhancing scientific writing in nursing research: Prospects, pitfalls, and solutions.. Research in Nursing & Health, 46(4):379-380. doi: 10.1002/nur.22326
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