AI (Artificial Intelligence) is quickly changing the world, and writing is also associated with it where some AI writing tools are getting better by making it hard to tell if a human or an AI-generated written. This is where AI detectors come in where they work like digital detectives, finding text that might have been written by AI.
Let’s understand more about, how do AI Detectors work?
What is an AI Detector? 🛞
It is an AI writing assistant that works as a tool that can help you with writing emails, blogs, or stories. These computer programs use AI to study how you write and give suggestions for words, phrases, and sentences that fit with your writing style and can help busy writers or people who are having trouble writing.
The Inner Working Process of AI Detectors
The Inner Working Process of AI Detectors ⚖️
Statistical Clues
AI detectors are like super-powered statisticians. Instead of wearing capes and masks, they use numbers to study patterns in text. They pay a lot of attention to how often words are used. It is like a word cloud, where the words that are used most often look bigger. People who write tend to naturally use different words. AI detectors can think a piece of writing is odd if certain words keep appearing a lot, or if there are not many different words used.
AI detectors also check how long each sentence is like people who write use a combination of short and long sentences to make their writing flow smoothly. On the other hand, text made by AI might have a pattern where all the sentences are about the same length and easy to predict and this repeating pattern could mean that AI is involved, which is a warning sign.
By studying these statistical patterns, AI detectors can find text that looks different from the usual way that humans write.
Vocabulary Choices 🥷
AI detectors are like really good writers who are really good at picking the right words. They search for two important things.
- Uncommon words: AI learns from lots of text but it may not fully understand human language differences. AI detectors look for words that don’t seem right or fit the context of the text. For instance, a story about gardening could use words like seeds and fertilizer, but a detector might be surprised if it finds the word dirigible used instead.
- Lack of Variety: People who write, need to use different kinds of sentences to make their writing interesting. AI detectors may have a hard time understanding this idea and they can write in a way that makes every sentence sound the same and robotic.
AI detectors can find boring and not creative writing by looking at the words used.
Meaning and Flow ✍️
It is like a train transporting thoughts. In writing, the ideas should make sense and transition smoothly from one to the next and AI detectors are like inspectors and they search for two things.
- Confusion in thinking: AI is good at recognizing patterns but it can have trouble with complicated ideas or logical thinking. AI detectors can find mistakes in the argument or reasoning in the text. For instance, if someone writes an article saying that eating chocolate can cure a cold, the detector would probably think that doesn’t make sense.
- Not having a smooth flow: Good writing should guide the reader through a story with ideas coming out in an easy and sensible way. AI detectors are able to find text that feels like the ideas don’t fit together well or don’t sound natural where sentences might not flow smoothly from one to the other, or the whole text might not fit together well.
AI detectors can recognize when writing doesn’t make sense or flow like human thoughts usually do by looking at how the text is organized and makes sense.
How AI Detectors Make Their Decisions?
How AI Detectors Make Their Decisions? 🤔
AI detectors are much more detailed than just saying if something is right or wrong. Instead, they work like fancy math machines that figure out chances. They look at the text for all the hints mentioned before patterns, word choices, and how the ideas are organized. By calculating these numbers, the detector makes a guess about the fishiness of something happening and thus, this score shows how likely it is that the text was written by the AI.
It is like a line or pie chart with a 0 at one end and a 100 at the other where a score close to 0% means a person most likely wrote the text. It has a natural way of saying things and uses different kinds of sentences and words. On the other hand, a score close to 100% means there’s a greater chance that AI was used, with patterns that repeat a lot and strange word choices that could make someone think it’s suspicious. The detector doesn’t give a definite answer, but it can help us see how likely it is that AI helped with the writing.
Real-World Example: Spotting the AI in Your Inbox
Real-World Example: Spotting the AI in Your Inbox 🤓
Think of the situation where you get an email from a company you don’t know. The email is written correctly, but it sounds a little ordinary. A smart computer might check the email and highlight specific parts.
- The email has too many words trying to sell something and they keep saying the same thing over and over again.
- The sentences are all about the same length and follow the same structure.
- You are missing personal details that are specifically about you.
Using these clues, the AI detector may think it is very likely that the email was made by a computer program.
To Sum Up (How do AI Detectors work):
It is time to sum up where we have talked about in detail the process with a practical example so that you can have a better understanding of AI detectors. The answer to the question, How do AI detectors work, comprises many things including how they make decisions during the whole process.
That’s it for now. 🤝
Thanks for reading.
