Hello! I'm interested in using ChatGPT in my research. Can you share any information or insights on how ChatGPT has been used in research so far, and what potential benefits it may offer for future studies?
I think there is a both a use and a limitation in considering AI's LLMs, such as ChatGPT, in the context of futures studies.
In my own work, where I place an antagonistic horizon between the reality of the material world and its history, and the imagination (both collective and individual), LLMs have a role in the analysis of data. However, since there is no data on the future, beyond that antagonistic horizon, one has to ask how can AI access the imagination? That which doe not yet (or even may not) exist?
In my view, there will always be a need for some form of reconciliation between the imagination and AI's conclusions on what may be materially real. A question of critical interpretation, if you like.
This work may be of benefit to researchers in the field of bibliometrics or to authors wishing to conduct bibliometric analysis using ChatGPT...
ChatGPT as a Tool for Bibliometrics Analysis: Interview with ChatGPT
Article ChatGPT as a Tool for Bibliometrics Analysis: Interview with ChatGPT
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...
It may particularly be an aide for groups of researchers who tend to lack the financial resources for traditional (human) research assistance: emerging economy researchers, graduate students and early career researchers. It is just possible that ChatGPT (and similar programs) could help democratise the research process...
https://www.universityworldnews.com/post.php?story=20230221094508396
However, yet, it is a controversial issue to use ChatGPT in academic research. Recently, its impact on academic research and publication has been scrutinized. The fundamental objective of this study is to highlight the application of ChatGPT in academic research by demonstrating a practical example with some recommendations...
The findings revealed that for the initial idea generation for academic scientific research,ChatGPT could be an effective tool. However, in the case of literature synthesis, citations, problem statements, research gaps, and data analysis, the researchers might encounter some challenges.Therefore, in these cases, researchers must be cautious about using ChatGPT in academic research...
(PDF) ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples. Available from: https://www.researchgate.net/publication/369576448_ChatGPT_and_Academic_Research_A_Review_and_Recommendations_Based_on_Practical_Examples [accessed Apr 05 2023].
ChatGPT in Academic Writing and Publishing: A Comprehensive Guide
Scientific writing is a difficult task that requires clarity, precision, and rigour. It also involves a large amount of research, analysis, and synthesis of information from various sources. However, scientific writing is also hard, time-consuming, and susceptible to errors. Advanced artificial intelligence (AI) models, such as ChatGPT, can simplify academic writing and publishing. ChatGPT has many applications and uses in academic and scientific writing and publishing such as hypothesis generation, literature review, safety recommendations, troubleshooting, tips, paraphrasing and summarising, editing, and proofreading, journal selection, journal style formatting, and other applications.
In this book chapter, we will discuss the main advantages, examples, and applications of ChatGPT in academic and scientific writing from research conception to publishing.
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https://achtago.com/publications/list/chatgpt-in-academic-writing-and-publishing/
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https://www.researchgate.net/publication/369817340_Chapter_2_ChatGPT_in_Academic_Writing_and_Publishing_A_Comprehensive_Guide
Artificial-intelligence search engines such as Elicit, scite and Consensus claim to streamline research by finding the most relevant papers, add context to citations or distil findings. Scientists report varying success: one researcher preferred Elicit over Google Scholar, but another said it gave too many irrelevant references. Although these tools aren’t prone to simply inventing studies, which ChatGPT has been known to do...
https://www.nature.com/articles/d41586-023-01273-w
Artificial Intelligence Not Yet Intelligent Enough to be a Trusted Research Aid
Despite the current hype surrounding tools like ChatGPT and GPT-4, further development of artificial intelligence capabilities is clearly required before one can embrace their use as reasonably trustworthy research tools. For now, the effort required is hardly worth the outcome. Human oversight clearly remains crucial in interpreting any results from the GPT family of large language models. In fact, a dedicated scholar’s due diligence clearly still trumps the potential of AI-like tools to find tidbits of new information...
https://scholarlykitchen.sspnet.org/2023/04/27/guest-post-artificial-intelligence-not-yet-intelligent-enough-to-be-a-trusted-research-aid/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz
Researchers embracing ChatGPT are like turkeys voting for Christmas
The technology threatens to impoverish research and destroy humans’ ability to understand the social world, says Dirk Lindebaum...
https://www.timeshighereducation.com/blog/researchers-embracing-chatgpt-are-turkeys-voting-christmas
Ethical Concerns about Using AI-Generated Text in Scientific Research
Artificial intelligence (AI) has been rapidly integrated into many scientific fields, and its potential to revolutionize scientific research is vast. AI has been extensively used in generating text, where algorithms such as ChatGPT have shown promise in developing coherent and convincing responses to prompts. However, using AI-generated text in scientific research raises ethical concerns like transparency, bias, informed consent, privacy, and accountability. AI-generated text, specifically ChatGPT, can be used for any purpose, such as generating research ideas, finding the research gap in specific topics, summarizing unlimited published articles, etc. However, researchers should be aware that the outcomes of ChatGPT are sometimes misleading, or the information is fabricated...
Article Ethical Concerns about Using AI-Generated Text in Scientific Research
Academic research is often characterized by a personal touch, as researchers bring their unique perspectives and experiences to their work. By relying solely on ChatGPT for editing, researchers may inadvertently lose their voice in their writing, which can lead to a lack of authenticity and engagement with their readers...
https://www.enago.com/academy/negative-costs-of-using-chatgpt-to-edit-research-manuscript/
ChatGPT serves as a beneficial resource for researcher at all stages of a research project, providing relevant information, guidance, and support to optimize efficiency and effectiveness. During the literature review phase, ChatGPT can aid researchers by suggesting relevant topics, questions, and methods within their research area and by summarizing important background and related studies. This assistance contributes to the construction of a comprehensive literature review and expedites the gathering and analysis of existing literature.
When researchers are in the data collection phase, ChatGPT can share insights on efficient and reliable data collection methods. It can also furnish information on data quality assessment and provide tips to avoid typical data collection errors. When it comes to data analysis, researchers can prompt ChatGPT to propose suitable analysis methods based on the research question and the type of data. It can also provide guidance on interpreting and effectively presenting the results. ChatGPT proves advantageous even in the final stages of a research project, where it assists in drafting and language editing to enhance readability and grammatical accuracy... (PDF) ChatGPT is a Remarkable Tool -- For Experts. Available from: https://www.researchgate.net/publication/371347021_ChatGPT_is_a_Remarkable_Tool_--_For_Experts [accessed Jun 12 2023].
As AI becomes more sophisticated, it may be able to better support researchers with a personalized assistant that can discover, memorize, and apply information and knowledge, but also offer broader, deeper, faster, and more tailored insights.
But while generative AI can facilitate collaboration and improve the quality, reproducibility, and transparency of research work, it also introduces some risks to research integrity. As we have already seen, AI’s capacity to generate human-like text and to manipulate images and data can be used for many purposes — including manipulating the publishing process. As new methods to manipulate content emerge, so too will innovative strategies to detect and counteract them...
https://scholarlykitchen.sspnet.org/2023/07/20/the-intelligence-revolution-whats-happening-and-whats-to-come-in-generative-ai/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz
ChatGPT identifies gender disparities in scientific peer review
The peer review process is a critical step in ensuring the quality of scientific research. However, its subjectivity has raised concerns. To investigate this issue, I examined over 500 publicly available peer review reports from 200 published neuroscience papers in 2022-2023. OpenAI's generative artificial intelligence ChatGPT was used to analyze language use in these reports. This analysis found high levels of variability in how each reviewer scored the same paper, indicating the presence of subjectivity in the peer review process. The results also revealed that female first authors received less polite reviews than their male peers, indicating a gender bias in reviewing...
This study highlights the potential of generative artificial intelligence in identifying areas of concern in scientific peer review and underscores the need to enhance transparency and objectivity in the scientific publishing process...
https://www.biorxiv.org/content/10.1101/2023.07.18.549552v1
ChatGPT-like AIs are coming to major science search engines
Scopus, Dimensions and Web of Science are introducing conversational AI search...
Scopus AI is intended to be a light, playful tool to help researchers quickly get summaries of topics that they’re unfamiliar with. The bot uses a version of GPT-3.5 to return a fluent summary paragraph, together with references and further questions to explore...
https://www.nature.com/articles/d41586-023-02470-3
ChatGPT applications in Academic Research: A Review of Benefits, Concerns, and Recommendations
ChatGPT has the potential to alleviate researchers' workload and enhance various aspects of research, from planning to execution and presentation. However, due to the rapid growth of publications and diverse opinions surrounding ChatGPT, a comprehensive review is necessary to understand its benefits, risks, and safe utilization in scientific research. This review aims to gain insights into the potential benefits and risks of using ChatGPT in scientific research, exploring secure and efficient methods for its application while identifying potential pitfalls to minimize negative consequences...
https://www.biorxiv.org/content/10.1101/2023.08.17.553688v1
ChatGPT has the potential to revolutionize academic writing by providing a powerful tool for researchers and students alike. With its ability to understand and respond to natural language queries, ChatGPT can facilitate quick and efficient access to relevant information, allowing writers to focus on synthesizing and analyzing information rather than spending hours searching for it. Additionally, ChatGPT's ability to generate text based on a given prompt or topic can be especially useful for writers struggling with writer's block or looking to explore different angles on a particular subject.
However, it's important to note that ChatGPT is not without its limitations when it comes to academic writing. While the model can generate text based on patterns it has learned from large datasets, it doesn't possess the same level of contextual understanding or critical thinking skills as a human writer. This means that ChatGPT may not always be able to capture the nuances and subtleties of academic writing, and may sometimes produce text that lacks the depth and complexity expected in academic papers. Furthermore, the use of ChatGPT for academic writing raises questions around authorship and responsibility, as well as concerns over plagiarism and intellectual property.
Despite these limitations, ChatGPT has already shown promise in supporting academic writing. For example, a study published in the Journal of Educational Data Mining found that ChatGPT was effective in generating summaries of academic papers, with the model's summaries achieving a high degree of accuracy and readability. Additionally, ChatGPT has been used to support language learning and literacy initiatives, with the model's ability to generate text in multiple languages making it a valuable resource for language educators. Ultimately, the successful integration of ChatGPT into academic writing will depend on how effectively it can be combined with human judgment and expertise, and how carefully its use is managed to ensure that it supports rather than replaces human writers.
For more information,
https://achtago.com/publications/list/chatgpt-in-academic-writing-and-publishing/
Breakthroughs over the past decade in self-supervised learning, geometric deep learning and generative AI methods can help scientists throughout the scientific process — but also require a deeper understanding across scientific disciplines of the techniques’ pitfalls and limitations...
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, helping scientists to generate hypotheses, design experiments, collect and interpret large datasets, and gain insights that might not have been possible using traditional scientific methods alone...
Both developers and users of AI tools need a better understanding of when such approaches need improvement, and challenges posed by poor data quality and stewardship remain. These issues cut across scientific disciplines and require developing foundational algorithmic approaches that can contribute to scientific understanding or acquire it autonomously, making them critical areas of focus for AI innovation...
https://www.nature.com/articles/s41586-023-06221-2
In R&D, generative AI can increase the speed and depth of market research during the initial phases of product design. Then AI programs, especially those with image-generating capabilities, can create detailed designs of potential products before simulating and testing them, giving workers the tools they need to make quick and effective adjustments throughout the R&D cycle.
Oracle founder Ellison pointed out in the June earnings call that “specialized LLMs will speed the discovery of new lifesaving drugs.” Drug discovery is an R&D application that exploits generative models’ tendency to hallucinate incorrect or unverifiable information—but in a good way: identifying new molecules and protein sequences in support of the search for novel healthcare treatments...
https://www.oracle.com/artificial-intelligence/generative-ai/what-is-generative-ai/?source=:em:nw:mt::::RC_WWMK200429P00044C00167:NSL400311633
When robotics researcher Juan Manuel Parrilla used the artificial intelligence (AI) tool ChatGPT to write parts of a grant proposal, it cut the workload from three days to three hours. Some people might see this as cheating, Parrilla says, but it actually highlights a much bigger problem: “What is the point of asking scientists to write documents that can be easily created with AI?”
https://www.nature.com/articles/d41586-023-03238-5
Generative artificial intelligence (AI), such as the chatbot ChatGPT, is already transforming research and scientific publishing — for better and for worse...
Podcast: How ChatGPT will change research
In this episode of Nature's Take we discuss how these AIs are impacting science and what the future might hold...
https://www.nature.com/articles/d41586-023-03467-8
http://resource-cms.springernature.com/springer-cms/rest/v1/content/26258974/data/v1
Some 57% of AI users are not fully satisfied with the tool they use, according to a new study by Iris.ai of over 500 corporate research professionals, aimed at assessing their use of AI in their research and the challenges they face in doing so.
The research found that the most prominent tool for assisting in research is currently ChatGPT, employed by 89% of AI users, suggesting that chat functions with AI tools may not be solely suitable for aiding scientific researchers. Less than a quarter of respondents use more complex solutions to reduce research timeframes: 23% using AI to summarise individual papers and optimise searches, and 21% using AI to extract knowledge from bodies of research. Many of these functions are not found in general-purpose AI tools...
https://www.researchinformation.info/news/chat-based-ai-not-enough-scientific-research?utm_campaign=RI%20Newsline%2012-12-23&utm_content=Chat-based%20AI&utm_term=Research%20Information&utm_medium=email&utm_source=Adestra
https://iris.ai/
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