Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
This is an incremental discussion for students and educators in the academic sector, highlighting ethical and practical concerns without introducing new methods or data.
The article addresses the problem of students over-relying on generative AI tools for academic assignments, which can hinder the development of critical thinking and lifelong learning skills, and it emphasizes the need to educate students about the risks and ethical issues of AI.
The availability and abundance of GenAI tools to administer tasks traditionally managed by people have raised concerns, particularly within the education and academic sectors, as some students may highly rely on these tools to complete the assignments designed to enable learning. This article focuses on informing students about the significance of investing their time during their studies on developing essential life-long learning skills using their own critical thinking, rather than depending on AI models that are susceptible to misinformation, hallucination, and bias. As we transition to an AI-centric era, it is important to educate students on how these models work, their pitfalls, and the ethical concerns associated with feeding data to such tools.