ENG1503
assignmen
Assignment 2 Semester 2
2025
UNIQUE CODE: 737611
Detailed Solutions, References & Explanations
DUE DATE: 17 Sept 2025
Terms of use
By making use of this document you agree to:
Use this document as a guide for learning,
comparison and reference purpose,
Not to duplicate, reproduce and/or misrepresent the
contents of this document as your own work,
Fully accept the consequences should you plagiarise
or misuse this document.
Disclaimer
Extreme care has been used to create this
document, however the contents are provided “as
is” without any representations or warranties,
express or implied. The author assumes no
liability as a result of reliance and use of the
contents of this document. This document is to
be used for comparison, research and reference
purposes ONLY. No part of this document may be
reproduced, resold or transmitted in any form or
by any means.
, 0688120934
PREVIEW
Essay: Does Using Large Language Models Constitute Plagiarism?
Large Language Models (LLMs) such as ChatGPT have reshaped the way knowledge
is produced and consumed, but their use raises important questions about plagiarism
and academic integrity. I argue that using LLM outputs does constitute plagiarism
when unacknowledged, since it challenges originality, authorship, and attribution.
Firstly, plagiarism is not only about copying words but also about failing to recognise the
source of ideas. Naithani (2025) argues that originality must be judged both by the
process of creation and by the product. Since LLMs are trained on massive datasets of
existing works, their outputs may appear original in language but still reflect pre-existing
ideas. When students copy LLM outputs without acknowledgment, they undermine the
moral right to attribution, which is a cornerstone of academic integrity (Naithani, 2025).
Disclaimer
Extreme care has been used to create this document, however the contents are provided “as is”
without any representations or warranties, express or implied. The author assumes no liability as
a result of reliance and use of the contents of this document. This document is to be used for
comparison, research and reference purposes ONLY. No part of this document may be
reproduced, resold or transmitted in any form or by any means.
assignmen
Assignment 2 Semester 2
2025
UNIQUE CODE: 737611
Detailed Solutions, References & Explanations
DUE DATE: 17 Sept 2025
Terms of use
By making use of this document you agree to:
Use this document as a guide for learning,
comparison and reference purpose,
Not to duplicate, reproduce and/or misrepresent the
contents of this document as your own work,
Fully accept the consequences should you plagiarise
or misuse this document.
Disclaimer
Extreme care has been used to create this
document, however the contents are provided “as
is” without any representations or warranties,
express or implied. The author assumes no
liability as a result of reliance and use of the
contents of this document. This document is to
be used for comparison, research and reference
purposes ONLY. No part of this document may be
reproduced, resold or transmitted in any form or
by any means.
, 0688120934
PREVIEW
Essay: Does Using Large Language Models Constitute Plagiarism?
Large Language Models (LLMs) such as ChatGPT have reshaped the way knowledge
is produced and consumed, but their use raises important questions about plagiarism
and academic integrity. I argue that using LLM outputs does constitute plagiarism
when unacknowledged, since it challenges originality, authorship, and attribution.
Firstly, plagiarism is not only about copying words but also about failing to recognise the
source of ideas. Naithani (2025) argues that originality must be judged both by the
process of creation and by the product. Since LLMs are trained on massive datasets of
existing works, their outputs may appear original in language but still reflect pre-existing
ideas. When students copy LLM outputs without acknowledgment, they undermine the
moral right to attribution, which is a cornerstone of academic integrity (Naithani, 2025).
Disclaimer
Extreme care has been used to create this document, however the contents are provided “as is”
without any representations or warranties, express or implied. The author assumes no liability as
a result of reliance and use of the contents of this document. This document is to be used for
comparison, research and reference purposes ONLY. No part of this document may be
reproduced, resold or transmitted in any form or by any means.
