BERTAIDetector EU AI Act Compliance Profile

Model Card for BERT AI Detector

Model Details

Model Description

This model is a fine-tuned BERT designed to classify text as either AI-generated or human-written. The model was trained on data from the Kaggle LLM Detect competition using variable-length text inputs ranging from 5 to 100 words. The fine-tuned model achieves high accuracy in identifying the source of the text, making it a valuable tool for detecting AI-generated content.

• Developed by: Pritam
• Language(s) (NLP): English
• License: Apache 2.0
• Finetuned from model: BERT (base-uncased)

Model Sources

• Repository: Hugging Face Model Card
• Demo: Streamlit Interface

Uses

Direct Use

The model is intended for use in detecting whether text is AI-generated or human-written. Users can input text snippets into the demo or directly integrate the model into their applications for automated content classification.

Downstream Use

Potential downstream uses include:

• Moderating AI-generated content in online platforms.
• Academic and journalistic content verification.
• Detecting plagiarism or misuse of AI writing tools.

Out-of-Scope Use

The model is not suitable for:

• Detecting deeply paraphrased AI-generated text.
• Analysis of languages other than English.
• Scenarios where fairness and bias considerations are critical, as those have not been explicitly addressed.

Bias, Risks, and Limitations

Recommendations

Users should be aware that:

• The model may not perform well on text heavily modified from AI-generated content.
• It may produce false positives or false negatives due to the inherent limitations of the dataset or model architecture.

How to Get Started with the Model

Use the following code snippet to load the model:

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Base Model