Utilizing Generative AIs in Academic Writing: Opportunities, Challenges, Ethical Dilemma and Suggestions
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Abstract
The integration of artificial intelligence (AI) into research writing has sparked debates on its ethical implications, authorship concerns, and best practices. While AI tools such as ChatGPT can assist researchers in fetching, summarizing, and processing vast amounts of data, their limitations necessitate human supervision. This article examines the appropriate and inappropriate uses of AI in preparing a manuscript for publication by briefly highlighting key ethical considerations and best practices. While AI can support researchers in data analysis, literature assimilation, and language refinement, the intellectual processes of conceptualization, critical analysis, synthesis, and argumentation remain human responsibilities. In a nutshell, AI should be viewed as an ancillary tool rather than an independent research author so that academic integrity can still be upheld.
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The articles published in the journals are the authors' opinions, not the opinion of the editorial team or administrative staff. The articles published is copyright of the Journal of Business Administration and Accounting, Khon Kaen University.
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