AI is the new rave, and it is quickly gaining on. In just two years, we’ve seen an influx of AI-driven content creation tools like Jasper AI, Copy AI, Writesonic, and the recently released and already popular ChatGPT. According to SimilarWeb data, ChatGPT recently became the fastest technology to reach 100 million users; doing so in just 2 Months!
These AI tools were designed to assist writers in their work and increase productivity, but these tools have been abused by content writers trying to make a quick buck without putting in any effort. Even high schoolers and university students have hopped on this train; using AI to write their essays and solve their assignments. Also read How AI is being Utilized
Now, while these AI content tools have gotten scarily fantastic at coming up with human-like content and write-ups, they still lack that feel, wit, and emotion that comes from human ability and experience. Also, Google considers AI-generated content spam and penalizes it.
As this method of “writing” becomes more and more popular, programs have been created to identify whether or not an essay, article, or any other form of written content was AI generated. These programs are referred to as AI detectors
So let’s take a look at some AI detectors you can use to properly detect AI generated content.
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Top AI Detectors for Detecting AI Generated Content
Before we get into AI detectors, let’s quickly see how they work.
AI detectors use language models to analyze the syntax of written content to identify patterns such as repetitiveness, predictability, and a lack of semantic meaning, all of which are common to old AI-generated content. But, for newer AI content tools like ChatGPT, it’s much more difficult to detect this.
To tackle this advancement, AI detectors now make use of NLP models. How? The new generation AI detectors are fed millions of human-generated text, and AI-generated text to be able to compare and detect the differences in both.
Without further ado, here are some of the top AI detectors that detect AI-generated content:
1. Originality.AI: This is one of the top detection programs for AI-generated text. Originality.AI was built to be used by anyone who writes articles for the web. It uses machine learning technology to analyze the linguistic and semantic structure of your text to detect AI patterns with a success rate of over 94%. It can identify text written by GPT-3, GPT-3.5 and ChatGPT with a high level of accuracy.
2. GPTZero: Developed by Edward Tian, a 22-year-old senior at Princeton University, GPTZero is another great AI detector tool. To detect AI content, GPTZero measures how complex the written content is, and the variations in sentence length. Human written content tends to be more complex than AI-generated content, and AI content tends to have a uniform sentence length.
3. OpenAI Text Classifier: This AI content detection tool was created by OpenAI, the makers of ChatGPT. It is a GPT model designed to predict how likely it is that text was created by AI such as ChatGPT. It is available for free.
4. Check For AI: This software was designed by a Stanford student named Benjamin Klieger. Check for AI was built using a combination of the Roberta base model by OpenAI for GPT detection and their proprietary models, which help reduce false predictions
5. Writer.com’s AI Detection tool: Created by writer.com, a popular website for content generation, this tool analyzes the content and returns a score based on its perceived level of AI-generated text. You can either add the link to already published content or just paste in the actual text. This tool is a part of their suite of content creation tools, and due to its popularity, it can be added to Google Docs and Microsoft Word as a plug-in.
Like in AI content generators, a major limitation with AI detectors is that they only detect content written in English. But this limitation should be surpassed in the near future.
It’s important to know that while these AI detector tools are good at detecting AI-generated content, they will not always remain relevant. So as AI language models continue to grow and improve, so too must the tools and methods used to detect them.