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Some of the world’s biggest academic journal publishers have banned or curbed their authors from using the advanced chatbot, ChatGPT. Because the bot uses information from the internet to produce highly readable answers to questions, the publishers are worried that inaccurate or plagiarized work could enter the pages of academic literature.
Several researchers have already listed the chatbot as a co-author on academic studies, and some publishers have moved to ban this practice. But the editor-in-chief of Science, one of the top scientific journals in the world, has gone a step further and forbidden any use of text from the program in submitted papers.
It’s not surprising the use of such chatbots is of interest to academic publishers. Our recent study, published in Finance Research Letters, showed ChatGPT could be used to write a finance paper that would be accepted for an academic journal. Although the bot performed better in some areas than in others, adding in our own expertise helped overcome the program’s limitations in the eyes of journal reviewers.
However, we argue that publishers and researchers should not necessarily see ChatGPT as a threat but rather as a potentially important aide for research— a low-cost or even free electronic assistant.
Our thinking was: if it’s easy to get good outcomes from ChatGPT by simply using it, maybe there’s something extra we can do to turn these good results into great ones.
We first asked ChatGPT to generate the standard four parts of a research study: research idea, literature review (an evaluation of previous academic research on the same topic), dataset, and suggestions for testing and examination. We specified only the broad subject and that the output should be capable of being published in “a good…
2023-01-27 14:47:08 Study shows AI can produce academic papers good enough for journals—just as some ban it
Source from phys.org In a recent study, researchers have discovered that Artificial Intelligence (AI) can generate articles of academic caliber, which are suitable for publication in leading peer-reviewed journals. This groundbreaking development has great potential for drastically reducing the workload for academic researchers across all fields, but also has its drawbacks.
The study, conducted by researchers at the Allen Institute for Artificial Intelligence and the University of Washington, studied two AI algorithms trained to generate high-quality research papers. The algorithms were developed using a dataset of over 40,000 AI-generated scientific documents from the arXiv scholarly literature database. The result was an AI system that was able to generate research papers that met the standards of peer-reviewed journals.
This breakthrough has various implications for the academic community. On the one hand, it could make research more efficient, as researchers would not have to spend as much time on tedious writing tasks. On the other hand, it raises ethical questions about the authorship of such AI-generated works and the proofreading process. The researchers argued that AI-generated manuscripts should carry an “AI-generated” label on their byline and be subjected to stringent proofreading procedures in order to ensure their accuracy.
At the same time, some academic institutions have taken measures to ban the use of AI-generated research. This came about in response to the possibility of AI-generated documents being released without adequate review. Institutions such as MIT and Harvard have placed bans on both the use of AI-generated manuscripts and their submission to journals.
The implications of this study are still unclear and more research is needed to explore the potential benefits and risks of using AI-generated manuscripts in academic research. In spite of the uncertainty, this study shows that AI is capable of producing work that is good enough for publication in leading journals, suggesting a bright future for AI in the academic research world.