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AI Text Classifier

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Classifies human vs machine text.
Generated by ChatGPT

The OpenAI AI Text Classifier is a tool designed to distinguish between text written by humans and text written by AI systems. It is based on a language model fine-tuned on a dataset of pairs of human-written text and AI-written text on the same topic.

The classifier is relatively reliable on longer texts, but is known to be unreliable on short texts, code, and language other than English. It is also vulnerable to editing that could evade the classifier and it is not designed to be a primary decision-making tool.

The classifier should be used as a complement to other methods of determining the source of a piece of text. OpenAI is engaging with educators, journalists, and other affected communities to better understand the limitations and impacts of using the AI Text Classifier.

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AI Text Classifier was manually vetted by our editorial team and was first featured on February 1st 2023.
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38 alternatives to AI Text Classifier for AI content detection

Pros and Cons

Pros

Works on longer texts
Engages with user communities
Updated model for reliability
Publicly available for feedback
Adjusted confidence for accuracy
Informative for educators, journalists
Continual improvement on detection
Fine-tuned on varied dataset
Potential reveal of false claims
False positive rate regulated
API for web integration
ChatGPT resource for educators
Feedback solicited for improvements
Impact studies on multiple groups
Tuned with different language models

Cons

Unreliable on short texts
Limited to English text
Poor performance on code
vulnerable to text editing
Poor calibration outside training data
Cannot identify predictable texts
Not designed as primary tool

Q&A

What is the principle behind the OpenAI AI Text Classifier?
Does the OpenAI AI Text Classifier distinguish between human and AI-written text?
Can the OpenAI AI Text Classifier reliably detect short texts?
Why is the OpenAI AI Text Classifier considered unreliable for non-English texts?
Can the OpenAI AI Text Classifier be fooled by editing?
What other methods complement the OpenAI AI Text Classifier?
Why is the OpenAI AI Text Classifier not a primary decision-making tool?
Who are the potential users of the OpenAI AI Text Classifier?
How can the OpenAI AI Text Classifier improve mitigations for false claims?
What is the OpenAI AI Text Classifier's accuracy on a challenge set of English texts?
How does the OpenAI AI Text Classifier perform on predicting very predictable text?
Can the OpenAI AI Text Classifier be updated and retrained based on successful attacks?
What is the training process of the OpenAI AI Text Classifier?
How does the OpenAI AI Text Classifier perform on different languages?
Does the OpenAI AI Text Classifier helps in identifying AI-generated misinformation campaigns?
Do output predictions differ a lot for texts significantly different from the training data?
How does the length of input text affect the classifier's reliability?
What is the intended impact of the OpenAI AI Text Classifier on educators and journalists?
How is OpenAI gathering feedback and understanding the limitations of the AI Text Classifier?
Is there a direct way to interact with or use the OpenAI AI Text Classifier?

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