What is it about?

Purpose – The purpose of this study is to analyze the relationship between academic writing and generative artificial intelligence (AI). Design/methodology/approach – This paper is characterized as exploratory and descriptive, with a qualitative approach. Two approaches were used: the first, a narrative review of the literature with a systematic search from which a data collection stage was carried out using asynchronous interviews by means of an online questionnaire. Findings – The results indicate that generative AI should be seen as a complementary tool for creative and critical academic writing. The data collected also highlighted issues related to academic dishonesty and the new type of plagiarism – plagiarism made possible by technologies – as well as issues of authorship and legitimacy of work carried out with AI and the loss of reflective and critical thinking and creativity. Research limitations/implications – The considerable increase in resources using AI in all dimensions of human life. Practical implications – The impact that the use of generative AIs can have on the creation of knowledge and the dissemination of scientific research. Social implications – The impact that the use of generative AIs can have on the creation of knowledge and on the dissemination of scientific research. Originality/value – The need for academia to anticipate the use of AI in academic writing and to incorporate its benefits into this process, especially considering researchers in training.

Featured Image

Why is it important?

The publication is important because it provides a detailed and well-founded analysis of the relationship between academic writing and generative artificial intelligence, highlighting the benefits and challenges of using these technologies. The study presents the perspectives of researchers in training and discusses ethical, social, and intellectual property aspects, which are crucial for advancing responsible academic production. Additionally, the article offers insights into how generative AI can be used as a complementary tool in the academic writing process, assisting with tasks such as grammar correction, translation, idea organization, and reference search. It also raises relevant questions about academic authenticity and integrity, fostering reflections on the implications of these technologies in the scientific field. These elements make the publication relevant for understanding the impact of generative AI on the creation and dissemination of scientific knowledge, particularly in the current context of rapid technological change.

Perspectives

This article is important for the following reasons: Understanding the Potential of Generative AI: It explores how generative artificial intelligence, such as ChatGPT, can serve as a complementary tool in the academic writing process, assisting with tasks such as proofreading, translation, idea organization, and reference searching, saving time, and increasing productivity. Ethical and Social Discussion: The article addresses crucial ethical issues, such as authorship, plagiarism, and intellectual property, which are essential to ensuring the integrity of academic production and avoiding the devaluation of scientific work. Perspective of Researchers in Training: It provides valuable insights into the perceptions of early-career researchers, helping to understand the real challenges and benefits faced by this group when adopting AI technologies. Encouragement for Critical Reflection: It raises concerns about the impact of AI on creativity, critical thinking, and the authenticity of academic texts, fostering deeper discussions on how to balance the use of these tools with originality and human analysis. Relevance in the Current Context: The study contextualizes the use of AI in a scenario of rapid technological changes, helping researchers adapt to the new demands of science and prepare for future challenges. Proposals for Responsible Use: It offers guidelines for the ethical and efficient use of AI in academic writing, promoting the conscious adoption of these technologies in academia. This article serves as a foundation for researchers to understand not only the technical benefits of AI but also the ethical and social challenges it presents, empowering them to use these tools more critically and strategically.

Ricardo Pereira
Federal University of Santa Catarina

Read the Original

This page is a summary of: Generative artificial intelligence and academic writing: an analysis of the perceptions of researchers in training, Management Research The Journal of the Iberoamerican Academy of Management, August 2024, Emerald,
DOI: 10.1108/mrjiam-01-2024-1501.
You can read the full text:

Read

Contributors

The following have contributed to this page