Chapter 2: Generative AI in practice

Alessandro N. Vargas (ORCID )

Pages: 9-30

First published: 20 March 2025

DOI: https://doi.org/10.63408/979-8-9928364-0-0_2

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Abstract

This chapter examines how generative AI, specifically ChatGPT, can be used to enhance scientific writing. ChatGPT can improve communication by helping make the text clearer, coherent, and grammatically sound. ChatGPT proves particularly useful for non-native English speakers, as it shows the ability to polish texts. The chapter also underscores critical limitations, such as occurrences of factual inaccuracies and hallucinations. These issues suggest that ChatGPT should be utilized as an assistant, primarily to aid writers in refining their texts, rather than as a sole or authoritative source.

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Bibliographic information

Book Chapter Title Generative AI in Scientific Writing: Opportunities and Ethical Challenges	Series Title Rockefeller Series in Science and Technology	Author Alessandro N. Vargas
Copyright Information The Author(s) under Creative Commons Attribution 4.0 International (CC BY 4.0).	Series ISSN (online) 3067-0667	ISBN (eBook) 979-8-9928364-0-0
DOI https://doi.org/10.63408/979-8-9928364-0-0_2	Publisher Rockefeller Publishing Co

How to Cite

Alessandro N. Vargas (2025). Chapter 2: Generative AI in practice. In: Alessandro N. Vargas (Eds.), Generative AI in Scientific Writing: Opportunities and Ethical Challenges (pp. 9-30), vol. 1, Rockefeller Series in Science and Technology, Rockefeller Publishing Co, New York, NY, USA. https://doi.org/10.63408/979-8-9928364-0-0_2

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About the Author(s)

• Alessandro N. Vargas is a full Professor at UTFPR, Brazil. Since 2023 he has been a research scientist in the Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA. He got his Ph.D. in Electrical Engineering at the University of Campinas (UNICAMP), Brazil. He spent a year as a Postdoctoral Researcher at Universitat Politècnica de Catalunya-BarcelonaTech, Spain, from 2014 to 2015. He has served as a Visiting Professor at Arizona State University (ASU), USA, and a Visiting Professor at the Politecnico di Milano (Polimi), Italy. He is currently serving as Associate Editor of IEEE/ASME Transactions on Mechatronics and the International Journal of Systems Science (Taylor and Francis). He is a former Editor of the Journal of The Franklin Institute (Elsevier) and IET Signal Processing (Wiley). His main research includes Control Systems, Electronics, and Mechatronics. Contact: avargas@utfpr.edu.br

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