You can write a manuscript using ChatGPT, which barely be identified by humans or other software. These may mislead scientists and science, especially the research field.
It is not impossible that people trust ChatGPT than research findings.
What precautions should the scientific community take?
Like any tool, it can be used in both positive and negative ways, depending on how it is utilized.
ChatGPT can be a blessing to science by providing quick access to information and insights, assisting researchers in generating new hypotheses and ideas, and facilitating communication between scientists and the wider public. However, there are also potential risks associated with using ChatGPT for scientific purposes.
One risk is the potential for misinformation or misinterpretation of data. ChatGPT may generate text that is not entirely accurate or relevant to a particular research question, leading to incorrect conclusions. In addition, ChatGPT may lack the ability to recognize or account for biases that can affect research findings, which can lead to further problems.
To prevent potential negative consequences of using ChatGPT in science, the scientific community should exercise caution when relying on AI-generated text, especially in critical areas such as healthcare, public policy, and climate change. Researchers should also evaluate the sources and quality of data used to train AI models and incorporate ethical considerations in the development and use of AI language models. Finally, it is essential to maintain open and transparent communication between scientists, policymakers, and the wider public to ensure that AI technology is used responsibly and for the benefit of all.
Natha Mohamed Thank you for your elaborated answer. You said it perfectly.
This new article brings many information including science.
Network Visualization of ChatGPT Research: A Study Based on Term and Keyword Co-occurrence Network Analysis
The findings of the study showed that chatgpt occurrence in maximum number of times followed by its related terms such as artificial intelligence, large language model, gpt, study etc. This study will be helpful to library and information science as well as computer or information technology professionals...
Preprint Network Visualization of ChatGPT Research: A Study Based on ...
You are welcome Mohammad Ali . There are fine research questions which are related to this one of yours. Links follow:
https://www.researchgate.net/post/Impact_of_OpenAI_ChatGPT_on_research_and_higher_education
https://www.researchgate.net/post/How_can_researchers_use_chatGPT_correctly_and_effectively
https://www.researchgate.net/post/Future_of_ChatGPT_in_Scientific_Research
Hello Mohammad Ali
Many people have seen it as a threat and discussed it like this but I think we should see it more as an opportunity, Like many things in life, if we take this opportunity, we make ourselves a lot better in many ways.
https://basicsbybecca.com/blog/taking-opportunities#:~:text=Taking%20opportunities%20means%20taking%20chances%2C%20but%20if%20we%20want%20success,for%20our%20growth%20as%20individuals.
I recommend to read this manuscript.
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.
Read online.
https://achtago.com/publications/list/chatgpt-in-academic-writing-and-publishing/
Download full text
https://www.researchgate.net/publication/369817340_Chapter_2_ChatGPT_in_Academic_Writing_and_Publishing_A_Comprehensive_Guide
We must be cautious about the consequences of over-reliance on AI technologies. We cannot let technology replace human judgment and decision-making. Authorship ethics are complicated and nuanced. ChatGPT or any other AI tool, may not be able to match the standards for authorship in research, but it can certainly break the writing block for many...
https://www.enago.com/academy/crediting-chatgpt-as-a-co-author-is-it-ethical/
Textpocalypse: A Literary Scholar Eyes the “Grey Goo” of AI
What are the implications for the authority of research and the practice of its publication and dissemination...
https://scholarlykitchen.sspnet.org/2023/04/13/textpocalypse-a-literary-scholar-eyes-the-grey-goo-of-ai/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz
ChatGPT -A Systematic Review of Published Research Papers
ChatGPT was released on November 30, 2022 by OpenAI. After its launch, it started to be used by many users for different fields of interest. Several scientific articles have even been published in which ChatGPT appears as an author because text generated by him was used. The impact it had on technology is enormous and that is why many materials have been published on how to use it in different fields as well as in different usage scenarios.In this material, we carry out an analysis of the materials that were published in three months after the appearance of ChatGPT (December 2022, January 2023 and February 2023). For this synthesis, the materials indexed by Google Scholar, Scopus and Web of Science were analyzed. Within the analyzed materials, scenarios of using ChatGPT and how to interact with it are identified. We also present the way of involvement or use of ChatGPT in education, science and research and in the final part of the material we present some suggestions for future research that can be carried out with the help of ChatGPT...
Article ChatGPT -A Systematic Review of Published Research Papers
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
A new report shows how algorithms can bias searches of academic literature, favouring authors who are white, Western and male, and that many researchers are unaware of how widespread this is. Academics need to learn what they can do about it...
https://www.universityworldnews.com/post.php?story=20230427095023544
Experts including ChatGPT head Sam Altman suggest AI may pose a risk of "extinction." Altman's OpenAI is among the U.S. tech companies keeping an eye on possible European Union regulation...
https://www.techrepublic.com/article/ai-caution-risk-statement/
Setting realistic boundaries for CHAGPT
Can researchers rely on this model for innovation, creativity, and most importantly to add value to the scientific advancements that they are working hard for? Certainly never!
So, as the world hypes ChatGPT and other AI tools for writing their emails, let’s be realistic and address the things that ChatGPT can never do for researchers...
https://www.enago.com/academy/chatgpt-cannot-do-for-researchers-2/
China’s generative Artificial Intelligence Law, which came into effect on 15 August, is the first specific law on generative AI in the world; the European Union is still discussing such regulations and the United States has none on the table. However, to the surprise of AI and technology experts, while China’s generative AI regulations outline areas of restriction, they are not as limiting for researchers in universities and companies as some initial drafts circulating earlier this year had proposed – a signal that China is keen not to stall research in this area...
https://www.universityworldnews.com/post.php?story=20230829145215324&utm_source=newsletter&utm_medium=email&utm_campaign=GLNL0752
More than 1600 researchers around the world responded to a Nature survey about the use of machine learning and generative AI tools. On machine learning, two thirds of them expressed excitement about the technology’s potential to accelerate data processing and more than half cited time and money efficiencies as benefits. On the negative side, the most commonly identified risks were (in order) more reliance on pattern recognition without understanding, perpetuation of bias and discrimination, facilitation of fraud and irreproducibility of results. Proliferation of misinformation and eliminating language barriers were the top concern and benefit respectively for generative AI tools...
https://www.nature.com/articles/d41586-023-02980-0
As policymakers around the world debate how to curb the unintended consequences of the increasing availability and use of generative AI tools, the OECD issued their initial considerations on the technology and examined concerns related to information pollution and mis-/disinformation, including in science, training of AI models and potential societal repercussions...
https://www.oecd-ilibrary.org/science-and-technology/initial-policy-considerations-for-generative-artificial-intelligence_fae2d1e6-en;jsessionid=ffyeCq_BibbvUc4Aoza4gD7OoTltUQem2qUC9KBo.ip-10-240-5-135
With the explosion of attention toward natural languages model applications in the academic and popular imagination over the past year, many have been reflecting on AI’s implications for scholarly communication.
In particular, how do these technologies impact the key trends of open access and research integrity in scholarly discourse?
On the side of integrity, there were lively thoughts as well on the potential opportunities and challenges that flow from increased use of AI-based tools. Beginning with the question of why the issue of integrity is so critical to scholarly communications, the conversation quickly turned toward how AI tools provide both opportunities and challenges...
https://scholarlykitchen.sspnet.org/2023/10/24/chefs-panel-on-ai-in-frankfurt/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz
How AI can bring back lost masterpieces
Dozens of studies are proving the power of AI to shed new light on fine-art paintings and drawings, argues David Stork, the author of Pixels and Paintings: Foundations of Computer-Assisted Connoisseurship. For example, neural networks have been used to recreate parts of Gustav Klimt’s lost painting, Medicine, from preparatory sketches and photographs. “Known artworks from the Western canon alone that have been lost to fire, flood, earthquakes or war would fill the walls of every public museum in the world,” writes Stork. Recovering them could restore and complete our global cultural heritage...
https://www.nature.com/articles/d41586-023-03604-3
Experts in artificial intelligence, policy and education have warned that generative AI tools such as ChatGPT, which create human-like text, are being incorporated into education systems without adequate consideration of the ramifications for education equality, learning outcomes, national sovereignty and culture...
https://www.universityworldnews.com/post.php?story=20231207195947129
What ChatGPT and generative AI mean for science
The advent of generative AI based on large language models (LLMs) that can generate realistic synthetic outputs from vast corpuses of text and code is accelerating discovery and providing fresh directions for scientific exploration. That’s a reason for excitement, but also apprehension...
https://www.nature.com/articles/d41586-023-00340-6
Dear Mohammad Ali
Dear Ljubomir Jacić
In my opinion ChatGTP can be considered a threat as long as it causes that we are no longer interested in acquiring knowledge.
ChatGTP can be considered a blessing as long as it is used as a tool for acquiring knowledge.
Best regards,
Kamil.
Are Concerns Related to Artificial Intelligence Developmentand Use Really Necessary: A Philosophical Discussion
"This article explores the philosophical considerations, concerns, and recommendations surrounding the development and use of artificial intelligence and large language models like ChatGPT. It addresses the concerns raised by educators and academics regarding academic integrity and the potential negative effects of LLMs. The article discusses the challenges posed by LLMs, such as plagiarism, and the opportunities they present, such as assisting students in the writing process and improving the quality of their work. It examines different philosophical approaches, including utilitarianism, deontological ethics, and virtue ethics, and their implications for the development and use of AI. The article also delves into key concerns related to privacy , bias, discrimination, and the impact on employment. It provides suggestions for a responsible and ethical approach, including prioritizing ethics and transparency in AI development, establishing clear regulations, and fostering responsible use by users. The importance of ongoing philosophical reflection, ethical considerations, and collaboration among stakeholders is emphasized. The article concludes by highlighting the need for future research to address these concerns and ensure that AI is developed and used in a manner consistent with ethical principles, values, and societal well-being..."
Article Are Concerns Related to Artificial Intelligence Development ...
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