In a world where the line between human and AI-generated content is increasingly blurred, transparency is paramount. Copyleaks AI Logic is a groundbreaking feature that provides unprecedented insight into the “why” behind our AI detection results. It moves beyond a simple probability score to reveal the specific patterns and characteristics that indicate the presence of AI-generated content.

The Power of Explainability

AI Logic is designed to address the “black box” problem in AI detection. By providing a clear, data-driven explanation for each result, we empower you to:

• Make Confident Decisions: Understand the specific signals that led to a piece of content being flagged, allowing you to make more informed and defensible decisions.
• Build Trust with Users: Provide your users with a transparent explanation of why their content was flagged, fostering a sense of fairness and trust.
• Facilitate Constructive Dialogue: Use the detailed insights from AI Logic to have more productive conversations about the appropriate use of AI tools.

How to Use AI Logic

AI Logic is available as an optional parameter in your AI detection API requests. When enabled, the API response will include an additional patterns object that contains a detailed breakdown of the AI and human-like patterns found in the text.

This object includes:

• Statistics: A comparison of the statistical properties of the text against known AI and human writing patterns.
• Textual Analysis: The specific segments of the text that exhibit AI-like characteristics, including their exact location and length.

By analyzing this data, you can gain a deeper understanding of the AI’s assessment and build more sophisticated and transparent content integrity workflows.

A New Level of Transparency

AI Logic represents a significant step forward in the field of AI detection. By providing a clear and understandable explanation for our results, we are empowering developers, educators, and content creators to navigate the evolving landscape of AI-generated content with confidence and integrity.

Usage Explanation

Upon successful completion of the request, the API will return a response containing various logics related to AI and human-written texts.

Example JSON Response

{
  "patterns": {
    "statistics": {
      "aiCount": [
        15.9636,
        39.5495,
        84.7079,
        119.8710,
        9.9233,
        185.6670,
        14.4536,
        19.1995
      ],
      "humanCount": [
        0.8076,
        1.5076,
        3.8228,
        8.5071,
        0.3769,
        4.2536,
        0.3231,
        1.1845
      ]
    },
    "text": {
      "chars": {
        "starts": [31, 55, 303, 909, 961, 987, 1129, 1775],
        "lengths": [23, 32, 23, 33, 25, 30, 30, 19]
      },
      "words": {
        "starts": [5, 9, 45, 135, 144, 148, 169, 257],
        "lengths": [4, 6, 3, 6, 4, 5, 5, 3]
      }
    }
  }
}

Understanding the Response

The response provides data that helps understand why certain text patterns have been flagged as likely AI-generated. This information enables:

• Clear documentation explaining AI detection results
• Facilitation of dialogue that leads to mutual understanding and trust
• Easy interpretation of detection results for quick action
• Collaboration and data-driven conclusions.

Next Steps

API Reference Explore the full API reference for the AI Detection endpoint.