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Is Generative AI Text Plagiarized?

NovelVista
NovelVista

Last updated 17/12/2024


Is Generative AI Text Plagiarized?

Generative AI is one of the great technological inventions of the 21st century. While it has revolutionized many other sectors, it has dramatically impacted textual content creation. Many advanced text creation tools have been developed based on this technology. Today, you are just a few clicks away from creating an entire human-like piece of information.

Many writers, students, and creative professionals are capitalizing on Gen AI to save effort and time. However, those who are careful about the ethical use of AI remain worried about whether the text they generate is plagiarized. If the same concern is circulating in your mind, this guide is worth reading.

This article will clarify whether the content generated through automated AI-powered tools contains plagiarism. So, if you want to clear your doubt, read it till the end.

What Constitutes Plagiarism?

It is easier to understand the involvement of plagiarism in generative AI text when knowing what constitutes plagiarism. By definition, plagiarism is intentionally stealing someone else’s content and pretending it to be created initially. However, plagiarism does not always occur purposely.

According to the University of Oxford, "a direct intention is not always involved in every case of plagiarism." This means that sometimes, unintentional practices can lead to plagiarizing work. These inadvertent acts could be different in different cases. For instance, sometimes, they may need to include citations, while other times, they may involve rephrasing existing ideas without proper attribution.

From here, it should be clear that plagiarism involves direct copying, improper rephrasing, patchworking, and missing citations. Now, let's discuss whether or not generative AI tools write while avoiding all these practices.

How Does Generative AI Work To Create Text?

Generative AI models such as GPT-3 and GPT-4 are usually trained on many existing resources. The data they learn from typically belong to a wide range of industries and include countless books, articles, publications, web content, and other sources of information.

Some automated tools backed by generative AI learn from already fed data and can access real-time information about a topic. So, when someone enters a prompt and requires a particular type of text, these models analyze the instructions and rely on their knowledge base to create content.

While these models don’t use precise wording, structure, and style of training data, they still use existing ideas with fewer or more changes. If we analyze this matter technically, AI tools don’t intend to use someone else’s work directly. However, the text they generate could contain significant traces of plagiarism. Wondering how? Let’s discuss it in the next section.

Do Generative AI Models Plagiarize Text? If Yes, How?

The answer to this question is that AI models refrain from plagiarizing text deliberately. In other words, they have yet to be developed to provide the already present information in the same way as it exists on different resources such as books, publications, or journals. Instead, they have the training to create unique content while relying on existing ideas.

Unfortunately, generative AI models have not achieved much accuracy in their results. Since they depend on a particular structure, patterns, and knowledge base, they often produce text that closely resembles the language or wording of training data. This is where the concern about plagiarism arises.

Moreover, when external information is involved, AI text only sometimes contains citations. That's why there is a chance that the text created through automated tools powered by generative AI has parts that fall under the category of plagiarism.

Ethical Considerations In Using AI-Generated Content

From the previous discussion, you might have understood that AI doesn't directly commit plagiarism. Instead, it occasionally produces work that resembles information already available on the Internet and offline resources, which leads to unintentional plagiarism. That's why certain righteous practices, as listed below, are necessary when using AI content.

Pass AI Text Through the Plagiarism Checker

Once an AI model generates content, don’t use it directly. Instead, make sure that you assess its originality first. This practice minimizes the risk of inadvertent plagiarism. In this regard, going through content manually will not help you find possible similarities. Ordinary assessment can’t assist you in determining to which source the generated text matches.

You need an advanced solution, such as a sophisticated online plagiarism checker, to accurately check the originality of generative AI text. Fortunately, many such tools are costless, so you have to find a plagiarism detector that allows you to check for plagiarism free. By using it, you can quickly determine whether the AI content contains plagiarism or not.

Cite The Sources If Needed

If you find any instances of plagiarism in auto-generated text, don’t panic. Instead, note the sources of plagiarized parts and credit the original authors. However, ensure you use the relevant citation methods according to your field. For instance, citing sources differs slightly in academics, content creation, business, and the legal sector.

When you attribute all the original authors, you show your respect for them. Also, the cited content doesn’t fall under the category of plagiarism. Instead, it is considered fair use of external information. Consequently, you remain safe from plagiarizing your work without intending to do so.

Wrapping It Up

After reading this guide, we hope you will understand whether the generative AI text is plagiarized. So, from now on, don't fall victim to any misunderstanding, and ensure the ethical use of AI-generated content.

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About Author

NovelVista Learning Solutions is a professionally managed training organization with specialization in certification courses. The core management team consists of highly qualified professionals with vast industry experience. NovelVista is an Accredited Training Organization (ATO) to conduct all levels of ITIL Courses. We also conduct training on DevOps, AWS Solution Architect associate, Prince2, MSP, CSM, Cloud Computing, Apache Hadoop, Six Sigma, ISO 20000/27000 & Agile Methodologies.

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