Generative AI Tools or Chatbots:

Overview:

Artificial Intelligence (AI) enables computers and robots to perform tasks that are typically associated with human intelligence [1]. Machine Learning (ML) and Deep Learning (DL) are subsets of AI, with DL using multi-layered Artificial Neural Networks (ANN) for data analysis.

A Chatbot is an AI-powered tool that uses automated rules, Natural Language Processing (NLP), and Machine Learning (ML) to respond to various requests [2].

Generative modelling is an artificial intelligence technique that produces synthetic artefacts by analysing training data, discerning their underlying patterns and distributions, and subsequently creating realistic replicas [3].

Generative AI (GAI) utilises generative modelling and advances in Deep Learning (DL) to produce diverse content at scale by leveraging existing media, including text, graphics, audio, and video [3]. Generative AI tools can create a broad range of content, including text generation, image synthesis, audio production, and synthetic data creation. Notable examples of such tools include ChatGPT, Copilot, Gemini, Claude, NovelAI, Jasper AI, DALL-E, Midjourney, and Runway.

Generative AI has significant potential to boost creativity among authors. However, it is crucial to recognise the inherent risks linked to the current generation of GAI tools. These risks include concerns about confidentiality and intellectual property, inadequate attribution practices, issues of inaccuracy and bias, as well as the possibility of unintended applications [4].

Therefore, Generative AI can significantly improve the writing process by enhancing content development and ensuring narrative consistency. However, it is wise to avoid using Generative AI tools for data analysis and insight generation during the research phase, as this may undermine the accuracy and integrity of the findings.

For Authors:

Authors are accountable for ensuring the originality, validity, and integrity of the content in their submissions. When employing Generative AI Tools, authors should adhere rigorously to the journal’s editorial and publishing policies related to authorship, misconduct, and publishing guidelines.

Authors can utilise Generative AI to improve their writing process while refraining from using AI tools or chatbots for data analysis and insight generation during the research stage.

Authors using Generative AI tools for writing, visual content, or data analysis must disclose the specific AI tools in the Materials and Methods section of their articles. They remain fully accountable for the integrity and content of their work, ensuring compliance with publication ethics and standards [4][5].

  • Generative AI Tools or Chatbots cannot be authors or co-authors.
  • Authors should be transparent when using Generative AI Tools or Chatbots and provide information about how they were employed.
  • Authors are responsible for their Generative AI Tools or Chatbots material, ensuring accuracy, avoiding plagiarism, and properly attributing sources.

For Editors and Peer Reviewers:

Editors and reviewers, as the guardians of quality and responsible research integrity, play a crucial role in maintaining the confidentiality of submission and peer review information. Their vigilance is key in avoiding the risks associated with using articles in Generative AI tools or chatbots, which may lead to privacy breaches, infringement of proprietary rights, and other relevant concerns.

 Editors and reviewers are strictly forbidden from uploading files, images, or information about unpublished articles into Generative AI tools or chatbots. This rule is not only a matter of policy but also a crucial aspect of respecting the intellectual property rights of the respective rights holders. The importance of this issue cannot be overstated, highlighting the gravity of their responsibility.

Editors and reviewers must use only the provided and recommended tools when assessing the article. For further guidance, please refer to the editor and reviewer responsibilities.

References:

  1. Copeland BJ (fact-checked by the Editors of Encyclopaedia Britannica). Artificial intelligence. Britannica Last Updated: May 26, 2023). https://www.britannica.com/technology/artificial-intelligence Accessed May 27, 2023.
  2. What is a chatbot? Oracle Cloud Infrastructure. https://www.oracle.com/chatbots/what-is-a-chatbot/Accessed May 27, 2023.
  3. Gui J, Sun Z, Wen Y, Tao D, and Ye J. A review on generative adversarial networks: Algorithms theory and applications. IEEE Trans Knowl Data Eng. 2023; 35:3313-3332. DOI: 1109/TKDE.2021.3130191
  4. Zielinski C, Winker MA, Aggarwal R, Ferris LE, Heinemann M, Lapeña JF, Pai SA, Ing E, Citrome L, Alam M, Voight M, Habibzadeh F, for the WAME Board. Chatbots, Generative AI, and Scholarly Manuscripts. WAME Recommendations on Chatbots and Generative Artificial Intelligence in Relation to Scholarly Publications. WAME. May 31, 2023. https://wame.org/page3.php?id=106
  5. COPE Council. COPE position – Authorship and AI – English. https://doi.org/10.24318/cCVRZBms
  6. Strictly inherited to the Editorial and Publishing Policies of Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)