OpenAI AI Classifier
ExternalOpenAI's AI Text Classifier, launched in January 2023, was a free tool designed to detect whether text was AI-generated or human-written by providing probability scores. It aimed to address growing concerns over content authenticity in an era of advanced language models like GPT-3.5. However, due to low accuracy—26% true positives for AI text and 9% false positives for human text—it was discontinued on July 20, 2023, and is no longer available. Best used as a preliminary check for longer English texts, it highlighted challenges in reliable AI detection.
Description
OpenAI's AI Text Classifier, launched in January 2023, was a free tool designed to detect whether text was AI-generated or human-written by providing probability scores. It aimed to address growing concerns over content authenticity in an era of advanced language models like GPT-3.5. However, due to low accuracy—26% true positives for AI text and 9% false positives for human text—it was discontinued on July 20, 2023, and is no longer available. Best used as a preliminary check for longer English texts, it highlighted challenges in reliable AI detection.
Key capabilities
- Distinguish AI-written text from human-written text
Core use cases
- 1.Preliminary screening of text for AI generation
- 2.Complement to human judgment and other verification methods
Is OpenAI AI Classifier Right for You?
Best for
- Casual users for preliminary checks on longer English texts
Not ideal for
- Educators and academic institutions due to high error rates and unfair accusations
- Non-native English writers due to biases
- Users needing reliable, high-accuracy detection
Standout features
- Free access
- Intuitive web interface
- Probability-based classification
Reviews
Based on 0 reviews across 0 platforms
User Feedback Highlights
Most Praised
- Free and accessible with intuitive interface
- Reliability improves on longer texts from recent AI systems
Common Complaints
- Poor overall accuracy leading to discontinuation
- High false positives and negatives, outperformed by alternatives
- Biased against non-native English speakers