AI Classifier | Distinguishing AI and human-written text

Try the new AI classifier to distinguish between AI-written and human-written text, gain insights, and reduce false…

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⚙️  Tech Specs

❑ Website Registered On:

  19th January, 2007

❑ Is this Mobile Friendly?

  Yes!

❑ Name Servers:

ns1-02.azure-dns.com, ns2-02.azure-dns.net

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❑ Tool Name:

  AI Text Classifier

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❑ Email Service By:

  Google Workspace

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❑ Use it For:

  Research

❑ Pricing Options:

  Free, Paid

❑ Suitable Tags:

  API, Web Browser

OpenAI developed an AI classifier to differentiate between AI-generated and human-written text. This tool aimed to address concerns about AI-written content being passed off as human-authored. The classifier analyzed text inputs and provided a probability score indicating whether the content was likely AI-generated or human-written. However, OpenAI discontinued the classifier on July 20, 2023, due to its low accuracy rates.

Major Highlights

  • Trained on diverse AI-written and human-authored text samples
  • Performed better with longer text inputs (over 1,000 characters)
  • Correctly identified 26% of AI-written text as “likely AI-written”
  • 9% false positive rate on human-written text
  • Free public access for feedback and testing purposes
  • Designed primarily for English text analysis
  • Not recommended for short texts or non-English languages
  • Unreliable for highly predictable content (e.g., lists of prime numbers)
  • Vulnerable to evasion through text editing techniques

Use Cases

  • Detecting potential academic dishonesty
  • Identifying automated misinformation campaigns
  • Distinguishing between human and AI chatbots
  • Assisting educators in evaluating student work
  • Supporting journalists in verifying source authenticity
  • Aiding researchers studying AI text generation capabilities
  • Enhancing content moderation on online platforms

While the tool showed promise, its limitations led OpenAI to focus on developing more effective methods for identifying AI-generated content. The company continues to research improved techniques for text provenance and remains committed to creating tools that help users discern between AI and human-generated content.

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