What is the meaning of the Bypass Engine detection score? If you’re a writer, editor, marketing agency, or website publisher, this article will explain how to interpret an AI detection score and ensure your team is on the same page.
What does the score from Bypass Engine’s AI detector indicate? Understand the meaning of the score and how to interpret the results.
Here are the questions we’ll address:
– What is the AI Detection Score?
– Is the Score Reliable?
– Is the Score Flawless?
– What if an AI Detector Mistakenly Flags My Writing as AI-Generated? This is known as a False Positive.
– Which Model is Best to Use?
– Should Plagiarism Checking and AI Detection be Handled the Same Way?
– How Does Our AI Detector Function?
– Which Part is AI? Why Were My Articles Tagged as AI?
What does the AI Detection Score indicate?
Our AI detector estimates whether content is AI-generated or human-created. It gives a confidence score.
A score showing 60% Original and 40% AI suggests the content is likely human-written, with 60% confidence in this judgment.
This doesn’t mean 60% is human-made and 40% is AI-made.
If you wrote all the content yourself and get a 60% Original score, it’s not a false positive. Bypass Enginei’s detector has predicted with 60% confidence that your content is human-generated.
Is the Score Reliable?
Indeed, the detector has shown reliability in our own tests and in several external studies.
- Our Own Accuracy Test
- Eight Independent Studies (highlighting Bypass Engine as the most reliable)
Is the Score Perfect?
No, the tool sometimes makes mistakes. It might wrongly say human-written content is AI-made about 1% of the time.
What if an AI detector says my writing is AI-made? This is a False Positive.
False positives are frustrating, and we’re working to make better models to lower this issue.
A false positive happens when an AI detector thinks a human’s work is AI-made.
We offer a free Chrome extension to show how the writing was done, whether by a person or AI.
We also provide tips to prevent and handle false positives.
Preventing False Positives
Dealing with AI Use Accusations
What Model Should I Pick?
Bypass Engine offers different models designed for various needs.
Current AI detection models are:
Lite
– Over 99% accurate for spotting AI content
– 0.5% chance of false positives
– Allows minor AI edits
Turbo
– Over 99% accurate for spotting AI content
– Less than 3% chance of false positives
– Strong against bypass tricks
– No AI edits allowed
Discover details about each model here
Multi Language
– Finds AI text in 30 languages
– 97.8% accuracy in spotting AI content
– False negatives reduced to 1.99%
Should we handle plagiarism checking and AI detection the same way?
No, we shouldn’t. A plagiarism checker gives concrete evidence of plagiarism, but an AI detector only shows the likelihood that content was made by AI or a person. Plagiarism and AI detection need different approaches.
How does our AI detector function?
Our AI uses a full and thorough method to check if an article is AI-made, more than any other tool we’ve seen.
To get more details about our AI detection tool, read our detailed article, “How Does AI Content Detection Work?” Our AI learned from many popular LLMs like ChatGPT, Claude, and Llama. It’s skilled at spotting AI content patterns throughout an article.
Our method is more thorough and precise than free AI detection tools, which depend on either…
1. A straight probabilistic model — These tools use OpenAI’s model to guess the next word based on the NLP model. If many next words in content match what the model predicts, it’s likely AI-created. This can be tricked by changing a few words.
2. “Burstiness” and “Perplexity” — These tools note that AI content is often made in a steady way, without much change. They can be fooled, leading to many wrong positives.
What makes something AI? Why did they say my article was AI?
You’re asking a good question: “Why did they say my article was AI?”
To help, we highlight sentences. This shows which parts the AI thinks might be made by a machine.
Keep in mind: The patterns our AI sees aren’t easy to explain in simple terms or a list of reasons why your content looks like AI-made.