Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
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Abstract (arXiv)
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.
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References · 18
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6 more
- 2023Analyzing Bias in Diffusion-based Face Generation Modelscited by 46
- 2020This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Modelscited by 33
- 2021This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Facescited by 25
- 2023Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewritingcited by 23
- 2024Frame by Familiar Frame: Understanding Replication in Video Diffusion Modelscited by 11
- 2025LLMs can be Fooled into Labelling a Document as Relevant (best caf'e near me; this paper is perfectly relevant)cited by 10
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