Efficient Generative AI-Assisted Academic Research: Considerations for a Research Model Proposal

Abstract

Generative artificial intelligence (GAl) has improved significantly since the emergence of ChatGPT 3.5 and is becoming an indispensable tool for many scholars, teachers, and students. This article addresses the main pitfalls of using GAl in research and academic writing, such as AI bias, AI hallucination, and ethical issues with literature review. It also provides an overview of how publishers view the use of GAl in academic writing. Finally, it offers some recommendations to address AI bias and AI hallucination problems, while maintaining the productivity benefits of using GAl. It also outlines a model that would enable efficient use of GAl in research and academic writing.

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