Challenges In Ai-Assisted Academic Writing: A Case Study
DOI:
https://doi.org/10.53463/innovltej.20240284Keywords:
Artificial intelligence (AI), academic writing, Large Language Model (LLM)Abstract
Artificial Intelligence (AI) has become a widespread tool in various academic fields, offering capabilities that range from machine translation to automated content generation. However, the application of AI in composing academic papers is subjected to inaccuracies, particularly in adhering to the conventional demands of academic writing. Based on a case study methodology, this article examines the limitations of AI in the following key areas: following the conventional rhetorical moves for composing an academic paper, providing accurate citations, arranging references in formats other than APA (unless specifically required to do so), disclosing the corpora, databases, and source texts used for AI training, incorporating contemporary knowledge, understanding cultural contexts beyond the Anglophone sphere, and maintaining a formal writing style. This case study emphasises the necessity for human engagement in academic writing to ensure quality, accuracy, and cultural sensitivity.