Internet advancements have led to the development of various artificial intelligence content production platforms and tools, including ChatGPT, leading to a heightened presence of generative content. In light of recent advancements in artificial intelligence technology, distinguishing between human-written and AI-generated content can be challenging.
Nevertheless, it is essential to know the difference between these two types of content since AI-generated content is often characterized by misinformation or providing lower quality content than humans. Recent changes to Google’s algorithm designed to combat artificial intelligence-generated spam make it crucial to identify such content.
Not all artificially generated content is indeed bad, and AI produces not all ineffective content. In this article, we will explore both technical and non-technical methods of identifying AI-generated content.
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How To Identifying AI-written articles?
To discourage spammy, low-quality content, Google has penalized sites publishing generative content. A surge of artificial intelligence-generated content is also being experienced by academics and other professionals outside of Google.
It may be helpful to verify that another human wrote certain content in academic, professional, or casual settings. However, how do you go about doing this?
It has taken me months to manually analyze the content, yet I am still puzzled by the complexity of AI applied to it. The ability to distinguish between content generated by an AI tool and real content would be helpful.
This is even though most AI tools cannot produce content above the level of an undergraduate college student. You can use a variety of tools and manual techniques to determine whether a text was written by artificial intelligence.
Method 1: The OpenAI Classifier (created by OpenAI)
On January 31st, the OpenAI Language Classifier was made publicly available. Its purpose is to provide insight into whether the content was generated by an artificial intelligence model, specifically ChatGPT. Although OpenAI created it, the company claims that only 26% of AI-generated content was correctly identified.
A minimum of 1000 characters must be entered into the classifier for the classifier to be used. In addition, the accuracy of the results increases with longer text samples but may not provide reliable results for very predictable texts, such as songs or mathematics.
A human-written article and several ChatGPT-generated outputs have been used to test the classifier. Still, the results have been inconsistent, with some outputs classified as “unlikely to be AI-generated” and others as “unable to tell.” The tool may be improved in the future, but the results cannot be considered certain.
Educators and others interested in learning more about ChatGPT have also been provided guidelines to help them digest and comprehend the information.
Although the OpenAI Language Classifier may offer a starting point in identifying content generated by artificial intelligence, its inconsistent results suggest that other methods, such as Originality, may provide more reliable results.
Method 2: Using Originality.AI (professional writing)
An advanced natural language model is used by Originality to identify plagiarism and artificial intelligence-generated content. A cost-effective solution for content detection is available at a starting price of 0.01 per 100 words. Predictability is determined by the tool, which indicates the likelihood that the content was created by artificial intelligence.
Originality’s CEO states that consistently ranking under 10% is considered safe, while scores close to 40-50% should raise concern. Several articles from a single source should be reviewed to determine the origins of content accurately. A more comprehensive analysis can also be conducted using the Originality website check tool. These detection tools should be accompanied by caution, as false positives and negatives may occur.
Method 3: Giant Language Model Test Room
Researchers from the MIT-IBM Watson AI lab and the Harvard NLP group developed the Giant Language Model Test Room (GLTR) to detect machine-generated text. It works by analyzing the predictability of each word in the text to the context to the left. This is done to determine whether it is likely to be the predicted word. Using GPT-2, the tool colors the background of each word green, yellow, red, or violet based on its position in the list of predicted words.
Please note that GLTR is not foolproof and should not be used as a declarative tool. Nevertheless, the final determination of whether an AI-generated text should be made is based on one’s judgment. It is intended for casual text only, while a different tool called Originality may be more suitable for serious content publishers, editors, or academics.
Accordingly, GLTR is currently the best tool available to the public for detecting AI-generated text. Still, it is meant to serve as a guide rather than provide a definitive answer. Comparing a human-written text with an AI-generated text can provide insight into the level of predictability and likelihood of the AI-written text.
Method 4: Technical Signs
The technical aspects of AI-generated content can be used to distinguish it from human-generated content. A few indicators are the length of sentences, the repetition of words and phrases, the lack of complex analysis, and the accuracy of the data.
Although some studies have suggested that AI-generated content is indistinguishable from human-written content, it still lacks detailed sentence structure and complex analysis. Whenever reading technical content, be cautious and look for these indicators to determine if it was created with artificial intelligence. Please report inaccurate data to Google if you discover it.
An examination of the technical aspects of the writing can help to identify AI-generated content.
It would be best if you look for the following characteristics:
- Artificial intelligence-generated content often employs simple and short sentences because AI has not yet mastered complex sentence structures.
- There may be a repetition of words and phrases in AI-generated content due to the AI trying to fill space with relevant keywords. In this situation, keyword stuffing is taking place, and it can be easily identified by the repetition of words unnaturally.
- Artificial intelligence-generated content may also lack complex analysis since artificial intelligence is better at collecting data than converting it into meaningful information.
- Data that is inaccurate: AI-generated content may contain inaccurate data because AI gathers information from various sources and sometimes makes mistakes when predicting outcomes.
- Lack of context and coherence: AI-generated content may also lack context and coherence, as AI cannot yet understand the nuances and relationships between concepts in the way a human would.
- Absence of personal experiences and emotions: AI-generated content often lacks personal experiences and emotions, as AI has not yet developed the capacity to understand or replicate human experiences and emotions.
AI-generated content is often claimed to be indistinguishable from human-written content, yet it is still incapable of consistently producing high-quality long-form content.
Method 5: Verify Sources & Author Credibility
The authenticity of the information presented on the internet may be questioned when reading articles. Examining the domain on which an article is posted is one way of determining its reliability. This should raise a red flag if the domain does not relate to the content being discussed.
The sources used in the article are another important aspect to consider. It may indicate a lack of research or the use of artificial intelligence if an author cites sources from questionable websites or fails to provide any sources. To ensure that the information in an article is accurate, the credibility of the sources used must be verified.
Several tools available on the internet can be utilized to detect AI-generated content. A free AI writing detection tool offered by Writer.com allows users to verify text by URL or by pasting it directly into the tool. However, the tool’s method of determining flagged content remains unclear.
OpenAI also released the Hugging Face Output Detector based on the GPT-2 Output Dataset. Even though the tool can provide a general indication of whether the content was generated using artificial intelligence, the accuracy of the predictions may vary.
The use of online detection methods should be conducted with caution. When relying on a website for information, it is important to research the methods employed by the website, as “AI detection” alone does not provide a sufficient level of assurance. If one carefully examines the domain and sources used in an article and utilizes these detection tools, one can determine whether the information presented is authentic.
Conclusion
It is increasingly difficult to distinguish between human-generated content and AI-generated content. Artificial intelligence is becoming able to mimic human writing in an indistinguishable way thanks to recent advances in machine learning. When determining whether the content is artificially created, combining several tools, including GLTR, Originality, and personal judgment, is advisable.
As a result of these tools, one can easily identify trustworthy content among the vast amount of information available on the internet. The distinction between human-generated and machine-generated content will likely become even blurrier as AI advances. In the meantime, it is possible to distinguish between the two, and it is important to remain vigilant while consuming content to making informed decisions.
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