The release of ChatGPT by OpenAI in late November 2022 has shaken the foundations of many industries based in content
generation and writing. In the last months, the scientific community has raised concerns regarding the possible misuse of
artificial intelligence (AI) language models, such as ChatGPT. While ChatGPT and similar tools can be used to enhance scientific
article writing and facilitate communication within the scientific community, they can also be used to create fake or low-quality
papers that may be used to manipulate the publishing process. In particular, one potential threat is the use of AI-powered
“paper mills” or “paper forges” that generate fake or low-quality scientific papers using language
models, such as ChatGPT. These papers may be used to manipulate metrics, such as citation counts or impact factors, or to deceive
readers into believing that the research is of a higher quality than it actually is.
Nonetheless, I think that it is also important to highlight the positive opportunities that AI language models offers to reduce
the language barrier for non-native English speakers. In fact, native English speakers often overlook the disadvantage that non-native
speakers carry during their whole professional career, as an effective communication of the scientific ideas usually results in a higher
visibility and impact of the results in the community. AI language models can be used to reduce this barrier in the following ways:
- 1.
Language and grammar checks: language and grammar are crucial components of any scientific article. With AI language models,
researchers can easily check their writing for grammatical errors and ensure that their language is clear and concise. This can
help to improve the overall quality of the article and make it more readable and accessible to a wider audience.
- 2.
Drafting paragraphs: language models can be used to help with drafting and outlining scientific articles. By inputting a rough
paragraph text, without paying attention to grammar or punctuation, but providing all the critical information that the paragraph
should contain, AI language models can generate a more effective paragraph. This can save researchers a significant amount of time
and effort, allowing them to focus more on the research itself.
Box 1 is an example of use of ChatGPT to help drafting a paragraph.
Box 1. Example of use of ChatGPT to help drafting a paragraph.
AC-G: Could you help me to draft a paragraph for a scientific article? It would be a paragraph
to be included in the introduction of the manuscript and it should explain how the development of nanomaterials
is a big revolution in the material science but that there is an open challenge to scale up and mass produce these
nanomaterials to use them in real-life applications. I would like to start with nanomaterials in general but then to
include graphene as an example. While graphene isolation by mechanical exfoliation is very simple and it allowed to
observe intriguing physical phenomena, without a proper scaled up synthesis its industrial application will be negligible.
ChatGPT: The development of nanomaterials has transformed the field of materials science, offering new
opportunities for the creation of materials with unique properties and applications. One of the most promising nanomaterials
is graphene, with its exceptional mechanical, electrical, and thermal properties. Despite the fascinating properties of graphene,
its industrial application remains limited due to the challenge of scaling up its synthesis. The isolation of graphene by mechanical
exfoliation is relatively simple and has allowed the observation of intriguing physical phenomena. However, without a practical and
efficient method for mass-producing graphene, its use in many real-life applications will be negligible. Therefore, there is a pressing
need to develop new methods and technologies for scaling up the production of graphene and other nanomaterials, to fully realize their
potential for use in a variety of applications.
- 3.
Peer-review and feedback: By inputting a draft of their article, researchers can receive feedback and suggestions for improvement from ChatGPT. This can be particularly helpful for researchers who are working independently and may not have access to a peer review process.
Box 2 is an example of use of ChatGPT to help providing feedback.
Box 2. Example of use of ChatGPT to help providing feedback.
AC-G: I’ve written this paragraph (see below) for a scientific article.
Could you provide some feedback about it? Would you recommend some changes in the writting style?
Or do you see some flaws in the reasoning?
The release of ChatGPT by OpenAI in December 2022 has shaken the foundations of many industries
based in content generation and writing. In the last months the scientific community has raised
concerns regarding the possible misuse of AI language models like ChatGPT. While ChatGPT and similar
tools can be used to enhance scientific article writing and facilitate communication within the scientific
community, they can also be used to create fake or low-quality papers that may be used to manipulate the
publishing process. In particular, one potential threat is the use of AI-powered “paper mills”
or “paper forges” that generate fake or low-quality scientific papers using language models
like ChatGPT. These papers may be used to manipulate metrics such as citation counts or impact factors, or to
deceive readers into believing that the research is of a higher quality than it actually is.
ChatGPT: Overall, the paragraph reads well and addresses an important issue in the scientific
community. Here are a few suggestions to improve the writing style:
Consider breaking up the paragraph into smaller chunks. This can help with readability and make it
easier for readers to follow your ideas.
Try to vary the sentence structure to avoid repetition. For example, you could rephrase the sentence
“While ChatGPT and similar tools can be used to enhance scientific article writing and facilitate
communication within the scientific community” to something like “ChatGPT and similar tools
have the potential to enhance scientific article writing and improve communication among researchers”.
When introducing a new term, such as “paper mills” or “paper forges,” it’s
helpful to define the term or provide some context to ensure that readers understand what you mean.
Consider providing more specific examples or evidence to support your argument. For instance, you could cite
a study or news article that highlights the potential misuse of AI language models in scientific publishing.
Overall, the paragraph is well-written and effectively communicates the potential risks associated with the use of
AI language models in scientific publishing. With a few minor tweaks, it could be even stronger.
Another aspect that has been debated in the last months is whether AI language models should be listed as co-authors of
papers or not or if there is some kind of copyright conflicts. According to the OpenAI sharing publication policy
(
https://openai.com/policies/sharing-publication-policy (accessed on 7 of April of 2023)), the content is attributed
to the user’s name. That is, the generated text is owned by the researcher and can be used in their article without any restrictions.
Nonetheless, OpenAI points that some text disclosing the use of an AI language model should be used. OpenAI provides an example of
acknowledgement that could be included to describe the use of ChatGPT to generate content:
Box 3 is an example of text to be included in the acknowledgement.
Box 3. Example of text to be included in the acknowledgement.
The author generated this text in part with GPT-3, OpenAI’s large-scale language-generation model.
Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes
ultimate responsibility for the content of this publication.
Figure 1 shows an artistic impression of an AI writing
a scientific manuscript. The figure generated with Bing Image Creator text2image model based on Dall-E 2 of OpenAI.
In summary, despite the potential threat of misuse to strengthen up “paper mills” and to deceive readership
to make research look higher quality than it actually is, AI language models can help to reduce the language barrier burden
carried by a huge community of non-native English speaker scholars, improving their visibility and impact. To address the
concerns on the potential threats, it is important for the scientific community to establish ethical guidelines and best
practices for the use of AI language models in scientific publishing. I thus strongly support including a text describing
the specific use of AI language models. Acknowledging the use of ChatGPT or other models in scientific articles is a matter
of transparency and scientific integrity. While these models are tools that can assist with various aspects of scientific
article writing, it is still important to give credit where credit is due.
Acknowldegment
ChatGPT (GPT-3, OpenAI’s large-scale language-generation model) has been used to generate some of the
examples and to improve the writing style of this Editorial Article. AC-G reviewed, edited, and revised the ChatGPT
generated texts to his own liking and takes ultimate responsibility for the content of this publication.