ENG1503 ASSIGNMENT 2 SEMESTER 2 2025 (Answer Guide) – Due 17 September 2025

ENG1503 ASSIGNMENT 2 SEMESTER 2 2025 (Answer Guide) – Due 17 September 2025 VERIFIED AND CERTIFIED ANSWERS. WRITTEN IN REQUIRED FORMAT AND WITHIN GIVEN GUIDELINES. IT IS GOOD TO USE AS A GUIDE AND FOR REFERENCE, NEVER PLAGARIZE. Thank you and success in your academics. UNISA, 2025 Contents Essay 1 2 Does the Use of Large Language Models Constitute Plagiarism? 2 References 3 Essay 2 5 Large Language Models and the Question of Plagiarism in Higher Education 5 References 6 Essay 3 8 Plagiarism and the Rise of Generative Artificial Intelligence 8 References 9   Essay 1 Does the Use of Large Language Models Constitute Plagiarism? The rapid growth of large language models (LLMs) such as ChatGPT has sparked intense debates in academic and professional spheres, particularly regarding plagiarism. Plagiarism, traditionally defined as presenting another’s work or ideas without acknowledgment, becomes complex when dealing with machine-generated outputs. This essay argues that the use of LLMs can constitute plagiarism, since these systems often reproduce human-authored content without attribution, obscure authorship, and undermine academic integrity. It also suggests strategies universities can adopt to safeguard the credibility of their qualifications in the era of generative artificial intelligence. First, LLMs are trained on vast datasets that contain copyrighted and human-authored works. This raises the risk that their outputs may reproduce material verbatim without appropriate acknowledgment (Cyphert, 2024). Studies have shown that these models sometimes “memorize” portions of their training data and can output copyrighted texts word-for-word when prompted. For instance, researchers have demonstrated that ChatGPT could reproduce full sections of published books without citation (Cyphert, 2024). Such reproduction directly