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AI has become a buzzword these days!
People have started using this cutting-edge technology very frequently in their day-to-day lives. But the point is, is AI reliable? Are AI detectors accurate? Do they give true results? We will find out the answers to all these questions in this blog.
Do you know ChatGPT has 1 million users within the first five days of its arrival? Crazy, isn’t it?
Since the arrival of ChatGPT and other AI writing tools, AI has become the most powerful tool in the digital world. It is overpowering everything. However various issues are also arriving as AI detectors are giving inaccurate results. Innocent writers are getting accused of using AI, and original writings from the past are getting detected by AI. This all is raising questions on AI, whether it is accurate or not. We will find it out.
Without any further ado, let’s begin with are AI detectors accurate!
Are ‘AI written detectors’ Accurate?
No, not actually! They are not always accurate. AI tools are just assistants who give insights into where the writing originated from. If you are suspicious about the writing and find that it was written using AI. Then you run an AI detection and it says the content is written by AI, then probably it was written using the AI tools.
Do not pay much attention to the results as they are just predictions based on the set standards of AI tools.
Moreover, many tools help in bypassing AI detection. So, you need to be very cautious.
As the usage of AI detectors has risen, various consequences are coming out. This all results in wrongful accusations and controversy. It has become very easy to generate blogs, articles, reports, essays, etc. using these tools.
To combat this AI thing, several AI detectors were also developed to check if the content is written by a human or AI. But you know what happened recently? These AI tools have started accusing writers by providing false results.
To check the accuracy of AI results, a user checked a letter from 1963 using GPTZero, and the result was shocking. The originally written letter was detected by AI. This news went viral and it brought a lot of concern and disbelief among the writers.
Moreover, this incident raised many questions about the reliability and accuracy of AI detection tools.
As one AI detector failed, writers have started doubting the results of other detectors as well. Their doubt was real though! Several other AI detectors also failed. Different detectors gave different results for the same document.
So, the point is that AI detector tools are not at all accurate and you cannot fully rely on them to check the accuracy of your content.
If you have written an article or a blog post without using any AI tools, then you need to be confident enough to stick to that.
Why Do AI Content Detectors Give Inaccurate Results?
We have seen many instances where AI content detectors are giving the wrong results. The human-written content is flagged as AI-written. The writers are questioned even when they have not used any AI tool to write the content.
However, it is found that AI detectors are not accurate. They give false results, they use some criteria to determine if the content is human-written or AI-written. But that criteria is not accurate. Because the striking truth is, AI content detectors detect the AI content only through AI. Do you get the point?
AI detects AI, so we cannot rely on it! It is always a game of chance. But what are the discrepancies in AI content detection tools? Why are they not accurate?
Let’s find out!
1. Language Model Limitations:
AI content has become very sophisticated now, which makes it tough for the detectors to differentiate between the two. AI writing tools such as GPT3 are improving day by day. Because of this, the challenge of AI written text is going to become more and more complicated.
2. Evolving techniques:
As the AI writers keep learning from their mistakes and follow new strategies each time. They may outdo the ability of detection algorithms- needing quick updates and refinements in the response.
3. Lack of training data:
AI needs good training data to work accurately. Insufficient and biased data leads to poor detection performance.
For example, ChatGPT is widely known for the Ai generated high-quality content. But its knowledge is just available to all that’s already there on the internet. What ChatGPT does is, it just brings together the information from different sources, then rewrites and rearranges it, then offers unique content.
Moreover, along with the pre-existing data, AI content always relies on keywords and templates and follows them to rank higher on the SERPs. But you know what? This can work in the initial days, but believe it, it backfires in the long run.
Because at the end of the day, humans read content to get original and understandable information. And AI content fails in doing so!
How AI Writing Detection Works?
When your content gets detected by AI even when it is human-written, you must have wondered how AI detection works, right? Well, stop wondering as we are here to answer all your questions.
Tools that generally predict AI content follow a certain set of standards. They are based on analyzing the context to the left of the following word.
The AI content detectors generally make use of a combination of NLP which is natural language processing techniques and machine learning algorithms to find out the patterns that are common in the AI-generated text.
Here is how AI detection works:
1. Classifiers:
Classifiers are trained to analyze the language patterns of the written content to recognize the text written by a particular AI model.
By making use of deep learning models and machine learning, the classifiers assess features such as grammar, writing style, usage of words, and tone to find out whether it was written by a human or generated by AI.
2. Embeddings:
It is a way of representing data so that similar data points can be grouped. It is also used to analyze if the text is written using AI or humans.
But what are embeddings?
What happens in language comprehension and AI is that every word is converted into a number code. These codes are called embeddings.
Why? Because computers do not understand the language of words, they only understand numbers! Shocking, right?
That is the reason words are converted into numbers through a process known as vectorization.
Then, the AI detectors find out if the content is generated by AI or written by a human using these codes.
3. Perplexity:
Perplexity works like a litmus test for the AI-generated text. It is a measure of how well the language model can predict a sample.
The low perplexity means the content is generated by AI. They make sense as well as they are readable but they are predictable as well.
And high perplexity means the content is written by a human only. It means more creatively it is written but with a lot of typos as well.
4. Burstiness:
Burstiness means the comparison of sentence variation such as different words etc. with the algorithms to assist in identifying when a burst occurs.
Text that contains little variations in the structure and length of sentences, then it has low burstiness.
Whereas, a text that has greater variations has high burstiness.
How to Make AI Content Human?
You must have been looking for tips to make your content human-written when it is detected by AI. Further, we are going to provide you with some tips on how to make AI content human.
These are the tricks that you can use to not get detected by AI.
1. Avoid Common Phrases and Words:
Some common words and phrases are in the dictionary of AI, it detects the content based on those commonly used words. You can try avoiding these kinds of words and phrases to lessen the chances of getting detected by AI tools.
2. Using Alternative Phrasing and Synonyms:
We already know how AI works, it detects repetitive words or content as written by AI.
AI content is repetitive. So, one of the simplest tips to trick an AI detector is by making use of phrases and words that have the same meaning i.e., synonyms. By using this technique, the content will not come out as repetitive and you will save your content from getting detected by AI.
3. Using Experience and Creativity:
If you add some creativity, story, or any experience in your article, then there is a high chance it won’t get flagged by AI tools. Try to add some random things to make the content look like it is written by a human.
Also, you can add some idioms, questions, and colloquialisms ( like gonna, y’all, wanna) to make the article conversational.
4. Add Statistics:
Adding statistics in between your articles is also one of the ways you can avoid getting detected by AI content detection tools. Make sure to use authentic statistics from authentic and reliable sources. By adding the stats in between, the content will not look plain and simple. This way, it will not get detected by AI tools.
By incorporating all these tricks, you can make your content authentic and reliable. Also, your content will be ready to get ranked on search engines like Google.
5. Add Variations/ Inconsistencies:
The content generated by AI is perfect, it doesn’t have any grammatical errors. So, to differentiate your content from AI-generated content you can add some variations, typos, and spelling errors intentionally to make your content look more authentic and human-written.
This seems like a bad way to avoid AI detectors as it can affect the image of your brand.
So, instead of this, you can try adding different spelling for the same words such as hyphenated as well as non hyphenated words, switch between UK and US English, and so on.
Such changes won’t be counted as errors and you’ll successfully be able to fool the AI detectors.
6. Pay Attention To Content Structure:
Content structure matters a lot to ranking an article or a blog post on search engines. AI content is generally flat with no formatting, no structure, and nothing. It won’t rank on SERPs and it will be easily detected by the AI detectors.
So, to make your content human written make sure to follow a proper content structure. A good blog contains short paragraphs, sentences of less than 20 words, images, and creativity. This all makes the blog post interactive.
Also, make proper use of H1, and H2 as well to make your content rank on search engines.
Does Google Consider AI Content?
However, there is no such proof of what happens when AI content gets detected by tools. But, we can say and it is very evident that it is not at all good for SEO.
Also Read: Guest Blogging: Your Path To Success In Building Relationships, Driving Traffic, And Boosting SEO
This might be surprising to you but you cannot say that AI-generated content is wrong or invaluable as long as it is offering value to the audience.
On the other hand, if your AI content is incorrect and is not offering value to the audience, then it might not rank on search engines and your website traffic might be affected.
Another question that comes to our mind when we talk about SEO is, Can Google detect AI content?
Well, according to Google’s Search Guidance report about AI-generated content, Google does not care if the content is written by a human or an AI, it only cares about value, authenticity, and quality. So, as long as your content is authentic, high quality, and follows the guidelines of Google, then it’s good to go.
In other words, Google might detect that the content is written using AI but it does not have an impact on the rankings as long as you’re writing for the audience and not for the search engines.
Also, they made it very clear in the report that AI is used to manipulate the search rankings, then Google will detect it, make the content spam, and penalize it as well.
But you know what? Every use of AI is not spam. So, if your content adheres to Google’s EEAT guidelines, then it will rank well on SERPs.
Moreover, to make sure that your content doesn’t get judged as spam or detected as AI content. You need to follow the EEAT guidelines of Google. But what are they? Keep reading and you’ll know.
Also Read: Understanding The Ai Voice Box Technology: A Look At Its Applications
What Are E-E-A-T Guidelines?
E-E-A-T is an acronym for Expertise, Experience, Authoritativeness, and Trustworthiness. It is one of the parts of the search quality rater guidelines by Google.
However, it is not a direct ranking factor of Google. But, it is a significant concept in SEO. The websites that have strong EEAT are generally preferred by Google. Not only this but also high EEAT equals improved trust and increased conversions.
No matter what process you use to design your content, if you wish to rank in search engines, your content must follow some standards. One set of standards that must be followed in writing is E-E-A-T guidelines. It stands for Experience, Expertise, Authoritative, and Trustworthiness.
Human reviewers as well as Google’s algorithm both consider this criteria to find out the worth of the content.
1. Experience:
Quality content frequently showcases the creator’s direct involvement with the topic at hand confirming that recommendations have been put into practice and verified. At the same time, it supports the genuineness of the insights shared.
2. Expertise:
Your content should look like it is written by an expert in that particular field. That means it should offer accurate information from credible sources.
3. Authoritativeness:
This means the author of the website must be an expert in their field. It refers to the overall reputation you have in your industry. Most especially among the Influencers and experts in your niche.
4. Trustworthiness:
Your website must be a reliable and authentic source of information with transparent policies regarding content creation, data privacy, and editorial guidelines.
This also includes having secure and safe connections and avoiding deceptive practices like misleading or clickbait headlines.
By following these guidelines, your content will surely rank well in the SERPs.
Final Thoughts
That’s a wrap of our article! We have jotted down everything that you must know about AI detectors.
In the present era, AI detector tools have become important because of so many AI writing tools available on the internet. So, to ensure the reliability, quality, and authenticity of the content, AI detectors are necessary.
By using advanced techniques such as NLP, deep learning, and machine learning, AI detectors can analyze whether content is AI-written or human-written. This leads to improvement in the quality of content.
We can conclude that as artificial intelligence is evolving day by day, AI tools are also going to evolve and become more sophisticated and reliable than they are today.
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