AI Detection False Positive

Usman Ali

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Are you a freelance writer who wants to learn more about AI detection false positive and how to prevent them? AI has completely altered the writing landscape in a matter of months. It is anticipated that the AI sector will expand thirteen times in the next seven years, with no signs of abating.

As a necessary precaution to guarantee a 5-star customer experience, numerous content writing services have integrated AI detection tools in response to the growing popularity of ChatGPT, Jasper, Copy, Anyword, and Rytr.

Artificial intelligence detection tools are not flawless. Sometimes, despite the human writer insistence that the content is entirely original, these tools generate a false positive, labeling the content as possibly produced by AI.

This post will define AI writing, describe use of AI detection tools, and offer advice to writers on how to make sure their work is recognized as authentic and written by humans.

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AI Writing

AI Writing

What precisely do AI detection tools consider to be AI writing, then?

Firstly, it might indicate that the content was produced entirely by AI, which would mean the author simply copied and pasted the text after providing a prompt to the tool.

Second, if the content is AI supported, which indicates that an outline, snippet, introduction, conclusion, or other sections were produced by AI, the detection tool may mark it as AI writing.

AI Detection Tools

AI Detection Tools

AI detection tools emerged quite quickly after ChatGPT and other easily accessible AI for content writing. AI detection tools have emerged to identify instances of AI content being copied and pasted, including Originality.AI, Copyleaks, GPTZero, and Content at Scale.

Originality.AI is frequently hailed as the best and most comprehensive AI detection tool available to serious content publishers.

AI Detection Score

AI detectors assign a score to each piece of writing, calculating the likelihood that the content was produced by AI or by a human by examining various factors. For Example:

Originality.AI offers an AI versus Human score, where a high Human score suggests that the content was probably authored by a human. There is only a 10% chance that the blog post or website content was produced by AI when the score is 10% AI and 90% human.

AI detection scores are not a breakdown of content composition but rather a probability.

What Exactly is an AI Detection False Positive?

What Exactly is an AI Detection False Positive?

Because AI detection tools are not perfect, something may be mistakenly identified as AI generated. When an AI detection tool returns a false positive, it means there is a strong likelihood that the content was produced by AI when, in reality, it was written by humans.

There is variation in reliability among tools, and accuracy will increase with more advanced platforms. Meanwhile, content may mistakenly be identified as AI generated when it was not. It makes sense that content writers are becoming increasingly concerned about this.

It is crucial to clarify that in the event that the content was primarily generated by AI and then edited with human input, this would not be regarded as a false positive. This kind of content is appropriately identified as AI generated by AI detection tools.

Because Originality.AI has a low false positive rate, content writers decided to invest in this particular tool. For instance, Originality.AI has a 99% accuracy rating for GPT-4 content.

Avoid an AI Detection False Positive

Avoid an AI Detection False Positive

As mentioned, AI detection false positive are possible. Here is how to steer clear of them.

Using Free Originality Tools

Your working file is saved when you work in Google Docs and install a free Chrome extension like Originality Report. It essentially watches you write, allowing you to see real time changes, and observe the editing process. This acts as a fallback in the unlikely event that your writing triggers a false positive.

Do Not Edit Your Content with AI Tools

Do not ask an AI to edit your article, even if you wrote it entirely yourself. Hemingway and Grammarly are two apps that offer editing and grammar assistance. However, if you have Grammarly Beta AI (GrammarlyGO) edit your entire work, the scanners will identify it as artificial intelligence (AI).

Minimize the Use of AI Tools

It can seem risky to use AI tools for content creation. You start by using it to create an outline, and before you know it, you are copying and pasting from ChatGPT to inspire your introduction and conclusion.

Simply avoiding AI tools when freelancing is one of the best ways to prevent an AI detection false positive. You are, after all, compensated for your original ideas.

Use Unique Tone and Voice

Every writer has a unique style and voice that they use when creating press releases, whitepapers, or website copy. Develop your own voice to avoid writing copy that sounds robotic and could be interpreted as artificial intelligence.

Here are some methods for achieving this.

  • Vary the length, syntax, and sentence structure of your sentences.
  • Steer clear of repetitive words and phrases.
  • Offer profound insights and contextual analysis.
  • Maintain a human and conversational tone.
  • Cite reliable information sources.
  • Steer clear of the passive voice.

Change Content Structure

AI tools generate content that is highly formulaic, frequently consisting of similar length paragraphs and subsections, brief subheadings, and a Conclusion subheading preceding a succinct conclusion.

Use descriptive headings and change up the length of your paragraphs to set your work apart.

How to Scan Work for AI Detection?

How to Scan Work for AI Detection?

You can conduct your own double check for AI generated content before submitting your work to any other platform.

Scan Through Copyleaks

Copyleaks will scan your content with 99% accuracy in a matter of seconds prior to submission. Rewrite and edit that section if something is flagged.

Integrate Chrome Free Browser Extension

When using Google Docs, the Originality AI Detector is a free tool that can help you preserve the hard copy of your writing. You will have documentation of your past writing and editing work in case you are ever unjustly accused of submitting content that was created using AI.


You can prevent your content from being marked as AI by being proactive and adhering to the above best practices, even though false positives are a possibility. It might be worthwhile to review your writing and identify any areas for improvement if a scanner is continuously classifying your work as AI.

Fundamentally, all of your content should stress “E-E-A-T (Experience, Expertise, Authority, and Trustworthiness).

AI Detection False Positive – FAQs

What is AI Detection False Positive?

AI detection false positive refers to the scenario where an AI system inaccurately identifies a piece of content as being AI generated when it is actually fully human-written. This can be a result of the AI detection tool incorrectly flagging human written text as AI-generated, leading to a false positive rate.

How common are false positives in AI Detection?

False positives in AI detection can vary depending on the specific AI detection tool being used. Some instances may result in a higher false positive rate, especially when incorrectly identifying fully human written text as AI-generated.

What are the implications of false positives in AI Detection?

False positives in AI detection can lead to individuals or content being falsely accused of using AI writing tools when their text is fully human written. It disrupts academic integrity and cause privacy concerns.

How does Turnitin AI Detection tool handle false positives?

Turnitin AI detection tool aims to minimize false positives in AI detection by continuously refining its algorithms to accurately identify AI generated content while reducing the risk of false flags on fully human written text.

What measures can institutions take to address false positives in AI Detection?

Institutions can work with AI detection tools providers to understand the algorithmic nuances and collaborate to reduce false positives in AI detection. This can involve dialogue with Turnitin chief product officer or reviewing the tool privacy policy.

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