by Kyle Morrison
Image source: Pixabay.com
Generative AI technologies like OpenAI's ChatGPT and Google's Bard have taken the world by storm since the end of 2022. These tools have transformed the way we approach many tasks, from your weekly shopping trip to drafting academic manuscripts. Generative AI has the potential to democratize knowledge for budding scientists by bridging knowledge gaps and enhancing language translation.
As science explores this new frontier, it is evident that generative AI is revolutionizing not only scientific manuscript writing but also the way we think of authorship and integrity of scientific research. Along with the endless implementations of these powerful tools, the use of Generative AI in science poses novel ethical and practical challenges. For instance, how do scientists with dealing with sensitive data use AI? How can science prevent the potential misuse of AI to generate misleading information or potentially data fabrication?
The rapid emergence of generative AI has sparked debate within the scientific community, as to how and if we should use these tools in academia. This issue has left many scientific journals in a quandary about how to regulate the use of generative AI in their publications. Whilst at this uncertain time it is difficult to predict the correct approach as to how to regulate the use of Generative AI. Some Journals have implemented policies requiring authors to disclose their use of generative AI and to take responsibility for the accuracy of the content they generate. For instance, Water Research has stated “Where authors use generative artificial intelligence (AI) and AI-assisted technologies in the writing process, authors should only use these technologies to improve readability and language”. And they have asked authors to provide a declaration of generative AI in scientific writing with all articles who have used it, for example:
Declaration of Generative AI and AI-assisted technologies in the writing process
During the preparation of this work, the authors used GPT 4.0 and GPT 3.5 created by OpenAI, and Bard by Google to enhance clarity, readability, and flow of writing. After using the tools, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.
Moving forward, it is important that science navigates this transitional time with caution, fostering fruitful discussions across multiple disciplines. In these discussions, we must weigh the remarkable potential of generative AI in science against its possible risks to scientific integrity. Although, it is too early to say how science will ultimately regulate the use of AI, it is clear that transparent reporting is a useful way for balancing innovation and ethics. As scientists it is a collective responsibility to tame the beast of generative AI, and our actions now will define the future of AI in the scientific method.
And here is my declaration:
Declaration of Generative AI and AI-assisted technologies in the writing process
During the writing of this blog, the author used GPT 4.0 by OpenAI to enhance the readability and flow of the writing. The author reviewed and edited the content as needed and takes full responsibility for the content of this work.
As science explores this new frontier, it is evident that generative AI is revolutionizing not only scientific manuscript writing but also the way we think of authorship and integrity of scientific research. Along with the endless implementations of these powerful tools, the use of Generative AI in science poses novel ethical and practical challenges. For instance, how do scientists with dealing with sensitive data use AI? How can science prevent the potential misuse of AI to generate misleading information or potentially data fabrication?
The rapid emergence of generative AI has sparked debate within the scientific community, as to how and if we should use these tools in academia. This issue has left many scientific journals in a quandary about how to regulate the use of generative AI in their publications. Whilst at this uncertain time it is difficult to predict the correct approach as to how to regulate the use of Generative AI. Some Journals have implemented policies requiring authors to disclose their use of generative AI and to take responsibility for the accuracy of the content they generate. For instance, Water Research has stated “Where authors use generative artificial intelligence (AI) and AI-assisted technologies in the writing process, authors should only use these technologies to improve readability and language”. And they have asked authors to provide a declaration of generative AI in scientific writing with all articles who have used it, for example:
Declaration of Generative AI and AI-assisted technologies in the writing process
During the preparation of this work, the authors used GPT 4.0 and GPT 3.5 created by OpenAI, and Bard by Google to enhance clarity, readability, and flow of writing. After using the tools, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.
Moving forward, it is important that science navigates this transitional time with caution, fostering fruitful discussions across multiple disciplines. In these discussions, we must weigh the remarkable potential of generative AI in science against its possible risks to scientific integrity. Although, it is too early to say how science will ultimately regulate the use of AI, it is clear that transparent reporting is a useful way for balancing innovation and ethics. As scientists it is a collective responsibility to tame the beast of generative AI, and our actions now will define the future of AI in the scientific method.
And here is my declaration:
Declaration of Generative AI and AI-assisted technologies in the writing process
During the writing of this blog, the author used GPT 4.0 by OpenAI to enhance the readability and flow of the writing. The author reviewed and edited the content as needed and takes full responsibility for the content of this work.
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