Generative AI in Content and Academic Writing: Ethical Boundaries, International Guidelines, Frameworks and Principles

Abstract

The main aim of the study is to investigate content creation and academic writing with Generative Artificial Intelligence (GenAI). Also, the study is focused to explore the benefits and challenges that might occur while using AI to write academic content that must align with existing legal and ethical principles and guidelines provided by global organisations. The paper is conceptual and analytical that investigated ethical principles, offered guidelines and real-world problems that occur while using AI to create content. It involved detailed literature review of existing research work and available guidelines associated with ethical and responsible use of AI, performed to know about possible concerns related to the use of GenAI in writing and best ways to incorporate it in the work. The study revealed key concerns including inaccuracy, misleading information, unintentional biases, privacy, transparency, IPR compliance, fairness and others. It was noted that if the information has poor quality, false citations, hallucinated and biased data, all these carry a reader to lack of trust and authenticity issues. Apart from all the challenges and problems, the need to have human oversight was emphasized to maintain the accuracy and relevance of the content.