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You may have come across a relatively new term, “AI plagiarism.” Both AI detection and plagiarism are major concerns for students writing academic work. That’s why the term “AI plagiarism” can seem confusing and worrying, as it combines AI and plagiarism.
So what is AI plagiarism? And is it the same thing as regular plagiarism? Let’s take a closer look at this relatively new concept and how it differs from traditional plagiarism.
What is AI Plagiarism?
AI plagiarism is a kind of plagiarism that occurs when you use work written by AI tools and pass it off as your own.
The concept of plagiarism here remains consistent with traditional plagiarism, except that the source becomes AI. To understand it properly, we need to look at how an authoritative source like Oxford University defines plagiarism:
“Presenting work or ideas from another source as your own, with or without consent of the original author, by including it into your work without full acknowledgement. All published and unpublished material, whether in manuscript, printed or electronic form, is covered under this definition, as is the use of material generated wholly or in part through use of artificial intelligence (save when use of AI for assessment has received prior authorisation e.g. as a reasonable adjustment for a student’s disability).” Oxford University.
So Oxford University treats plagiarism as “Presenting work or ideas from another source as your own”. That source could be a human author or an AI tool; you don’t need a human victim for something to be plagiarized according to this rule.
So yes, AI plagiarism is an actual thing. The term is used to refer to plagiarism when the source is an AI tool.
Let’s take a look at how this form of plagiarism differs from traditional plagiarism.
Differences Between AI Plagiarism and Traditional Plagiarism
The main difference between AI plagiarism and Traditional plagiarism depends on the source being plagiarized. However, there are some important differences between the two types. Let’s take a look at them.
1. The Source: Human Author vs. AI Model
The source of information is the core difference here.
Traditional Plagiarism: The source of information is human authors in traditional plagiarism. It involves taking the work written by a human being and passing it off as your own. The distinction between human vs AI author matters because humans put original thoughts into their work, they have clear intent, and reserve the right to be credited for their original creations.
AI Plagiarism: It involves “generating” a piece of text through a large language model (LLM) like ChatGPT. The AI tool itself isn’t an individual with intent or original thinking. It just stitches words together based on statistical patterns. However, the output the tool generates is still something new, even if it's based on hundreds of existing works. This makes AI tools a real source of information.
2. Nature of Offense: Intellectual Theft vs. Misrepresentation
The nature of offense is slightly different in each kind of plagiarism.
Traditional Plagiarism: The theft of a human author’s work is theft of their intellectual property (IP), which they reserve the right to protect and benefit from. If you plagiarize a research paper, for example, you’re taking the credit for someone else’s research, words, original thoughts, argument, structure, and creative labor.
AI Plagiarism: Plagiarizing an AI tool’s work is similar to misrepresenting the authorship and effort. AI tools themselves don’t reserve any intellectual property rights like humans do, so using their output can’t be considered as “stealing from AI.” The offense, instead, is that of presenting machine-generated work as your own product, while you yourself didn’t put any effort or original thoughts into it.
3. Detection Method: Exact Matches vs. AI Patterns
The method of detection differs for each type.
Traditional Plagiarism: Traditional plagiarism is detected using AI plagiarism checkers. A plagiarism checker looks for exact matches of words, phrases, and sentences to look for matching text in its database. This allows the plagiarism checker to highlight content that might be plagiarizing an existing piece of text.
AI Plagiarism: The detection of AI plagiarism relies on AI detection tools. These tools are able to identify language patterns that are common in AI writing, such as burstiness and perplexity.
These are the major differences between traditional and AI plagiarism. Both are treated as plagiarism and are considered offenses in the academic and professional worlds.
How to Avoid Both Types of Plagiarism?
Since the two types of plagiarism differ, avoiding them requires different guidelines. Below are some simplified tips to help you avoid both types.
Avoiding Traditional Plagiarism:
Use a Plagiarism Checker: A plagiarism checker can quickly scan and highlight plagiarized sentences in your text. It allows you to check for plagiarism and reduce it if its score is high before you submit or publish your work.
Track & Cite Your Sources: Tracking the sources during research allows you to remember when and where to cite them. This prevents you from unintentionally missing citations, which causes plagiarism.
Quote and Paraphrase With Balance: Remember to use both quotation and paraphrasing techniques when referencing source material, and avoid over-quoting everything, which can increase the text’s similarity score.
Use a Plagiarism Remover: A plagiarism remover can be useful for you if you find it difficult to remove plagiarism with manual paraphrasing. It can rewrite your input text effectively and make sure it becomes unique.
Avoiding AI Plagiarism:
Follow Your Institute's Guidelines Regarding AI: Make sure you follow your institute or publisher’s policies regarding the use of AI in your work. Don’t use it if it’s prohibited, and only use it as much as it’s allowed, if it’s allowed.
Use AI for Editing & Suggestions: Try not to use AI as a full-time writer. Instead, try to use it for helpful tasks like proofreading and outlining or brainstorming, that is, if you’re allowed to use AI for such tasks.
Disclose Where AI Is Used: Most institutes and publishers require you to disclose where and how AI assistance was used in your work, if they allow you to use it at all. Disclosing the use of AI as required shows that you respect the institute’s policies and that your work is honest and transparent.
Conclusion
AI plagiarism refers to a kind of plagiarism that occurs when you pass AI-generated work as your own without disclosing it. This kind of plagiarism is real and can have consequences in both the academic and professional world, just like traditional plagiarism. However, AI and traditional plagiarism have some key distinctions, including the source being plagiarized, the nature of the offense, and the method of detection. Knowing the differences helps students and writers understand plagiarism better so that they can avoid both types.
