Ethical Implications of Generative AI in Academic Writing

Abstract

Artificial intelligence (AI) tools like ChatGPT, Claude and many more are now widely being used to create academic content. Although these tools offer many benefits, including time efficiency and display of many languages, they come with potential ethical risks such as plagiarism, complication in authorship integrity and transparency.The Ethics of Generative AI: Potential and Challenges for the Academic Setting This paper explores the ethical implications of generative AI in the context of academic writing and identifies potential areas in which academia ought to adjust policies and practices to meet evolving threats. Materials and methods A mixed-methods approach including a systematic literature review and survey analysis was utilized. Core ethical themes were derived from a thematic analysis of the educational literature, complemented by descriptive statistics from faculty and students. The biggest fears included plagiarism, authorship disputes and for use in academic assessment. These ethical risks are summarized in figures and tables, giving visual and comparative insight.Regulatory and educational frameworks are needed from academic institutions for ensuring a healthy integration of AI that does not violate academic values. Toggle High contrast Test your language Keywords Generative AI Academic Writing Ethics Plagiarism Authorship AI Regulation