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Turnitin’s AI writing detection model architecture and testing protocol
Whitepaper

Turnitin’s AI writing detection model architecture and testing protocol

Written by Turnitin AI technical staff, this whitepaper explores the technology behind Turnitin’s AI writing detection system, focusing on the system’s architecture, testing protocol, and recent enhancements to the core AI detection model, including a new AI paraphrase detection feature.

The authors define and discuss key concepts in generative AI and AI writing detection, laying the groundwork for understanding how independent research supports the system’s effectiveness in accurately identifying AI-generated content. Additionally, potential future developments for the tool are discussed, providing insights into the ongoing evolution of AI writing detection technology.

In this whitepaper, you’ll discover how Turnitin’s AI writing detection:

  1. Demonstrates high accuracy in identifying AI-generated and AI-paraphrased content through independent validation.
  2. Incorporates robust safeguards, making it a reliable component for managing AI writing in educational settings.
  3. Is seamlessly integrated into the most trusted suite of academic integrity tools available.
  4. Differentiates itself from other options on the market.