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Artificial Intelligence and Generative AI for Media & Journalism: How to Cite AI and Plagiarism Concerns

Concerns about Plagiarism When Using AI

The rise of artificial intelligence (AI) in writing has sparked several concerns related to plagiarism. Here are some key points:

Automated Writing and Plagiarism:
- AI language models, like GPT-3, can generate “human-like” text, making it challenging to distinguish between AI-generated content and original work.
- Universities and schools must redefine what constitutes academic misconduct in this context.
Ethical Concerns:
- AI-driven content generators raise ethical issues related to bias, plagiarism, intellectual property, and misuse.
- There’s a risk of spreading false information or inciting violence through AI-generated content.
Misconduct Already Widespread:
- Research shows that academic misconduct is already prevalent.
- Students may use AI tools to complete assignments, undermining their own growth and risking expulsion.

In summary, educators and institutions need to be vigilant as AI continues to impact academic writing and integrity. (Text generated by Microsoft Copilot).

AI and Plagiarism

6 Tenets of Postplagiarism: Writing in the Age of Artificial Intelligence
In the final chapter of Plagiarism in Higher Education: Tackling Tough Topics in Academic Integrity (2021) the author contemplated the future of plagiarism and academic integrity. In this more recent article, she expands on those ideas.
Artificial intelligence and academic integrity: striking a balance
This article emphasizes that AI should complement, not replace, student learning, and universities must equip students with the skills to use AI responsibly.
Do Language Models Plagiarize?
In this work, the authors study three types of plagiarism (i.e., verbatim, paraphrase, and idea) among GPT-2 generated texts, in comparison to its training data, and further analyze the plagiarism patterns of fine-tuned LMs with domain-specific corpora which are extensively used in practice.
The Files are in the Computer: Copyright, Memorization, and Generative-AI Systems
The New York Times’s copyright lawsuit against OpenAI and Microsoft alleges that OpenAI’s GPT models have “memorized” Times articles. Other lawsuits make similar claims. But parties, courts, and scholars disagree on what memorization is, whether it is taking place, and what its copyright implications are. In this essay, the authors attempt to bring clarity to the conversation over memorization and its relationship to copyright law.
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable from original work. This work explores T5 and GPT-3 for machine-paraphrase generation on scientific articles from arXiv, student theses, and Wikipedia.
Identifying Machine-Paraphrased Plagiarism
Employing paraphrasing tools to conceal plagiarized text is a severe threat to academic integrity. To enable the detection of machine-paraphrased text, the authors evaluate the effectiveness of five pre-trained word embedding models combined with machine-learning classifiers and eight state-of-the-art neural language models.
Understanding Turnitin’s AI Writing Detection Feature
Chapman University takes a look at Turnitin’s AI Writing Detection Feature and offers a selection of their favorite blog posts to assist you in your discussions with your students regarding Turnitin’s AI writing score.
When AI Is Writing, Who Is the Author?
ChatGPT’s advanced abilities have sparked debates in higher education about its impact on essay writing and learning. Educators are encouraged to view AI as a tool for facilitating writing, with users taking ultimate responsibility for the content.

How to Cite AI

AI Plagiarism Checkers

*There is no perfect system to detect AI usage (yet).