AI Copyright Embedding for Blockchain Content Distribution

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Solution Overview

Problem

Existing digital content distribution systems lack efficient methods for creating and managing digital copyrights using generative AI, leading to challenges in securely distributing and monetizing digital content.

Innovation Solution

A digital content distribution apparatus and method that integrates a digital content creation module using generative AI, a digital copyright creation module, and a distribution management unit, utilizing blockchain technology to encrypt and distribute digital content with embedded digital copyrights through an NFT server.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If digital content is created using generative AI, then content creation efficiency is improved, but copyright management and verification become more complex

Engineering Contradiction:
Improvecontent creation efficiencyVSAvoidcopyright management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by embedding the digital copyright information (including AI model identifier, creation timestamp, and generation parameters) into the digital content at the moment of creation. This pre-embedding of copyright metadata automates the copyright management process, eliminating the need for separate manual registration systems and reducing the complexity of subsequent verification steps.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces a blockchain-based intermediary system that acts as a neutral mediator between content creators and verifiers. The blockchain network stores and verifies copyright information independently, providing a trusted third-party mechanism that simplifies the complexity of direct peer-to-peer copyright verification while maintaining efficiency in content creation and distribution.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If digital copyright information is embedded in digital content, then copyright verification is improved, but data security requirements increase

Engineering Contradiction:
Improvecopyright verification accuracyVSAvoiddata security
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent applies the nested doll principle by embedding the digital copyright information (a smaller data structure) within the digital content (larger data structure). The copyright metadata including AI model identifiers, creation timestamps, and generation parameters is nested within the content's data structure, allowing verification without separating the copyright information from the content itself, thereby maintaining both verification accuracy and data integrity.

Inventive Principle:
Principle #7Nested doll (Nesting)

Solution Approach 2:

The patent creates a composite data structure that combines the original digital content with embedded copyright information in a unified format. This composite structure integrates both the creative content and its legal metadata, ensuring they are stored and transmitted together as a single secure unit, which enhances both verification capability and security management.

Inventive Principle:
Principle #40Composite materials

3Reliability

If blockchain technology is used to store copyright information, then copyright protection is improved, but storage cost and processing time increase

Engineering Contradiction:
Improvecopyright protectionVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent extracts only the essential copyright verification data (AI model identifier, creation timestamp, and generation parameters) from the complete copyright information and stores this extracted subset on the blockchain. By taking out only the critical verification elements rather than storing entire content files or comprehensive metadata, the system achieves reliable copyright protection while minimizing blockchain storage requirements and processing time.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments copyright information into two parts: essential verification data stored on the blockchain for quick verification, and detailed copyright metadata stored locally or in distributed storage. This segmentation allows the system to maintain strong copyright protection through blockchain verification while reducing the time and computational resources required for storage and retrieval operations.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12561751B2Digital copyright creation module for digital content created using generative AI, and digital content distribution apparatus and method using the same
Publication Date: 2026.02.24 AISOLUTE CO LTD
  • US12561751B2 patent drawing
  • US12561751B2 patent drawing
  • US12561751B2 patent drawing

AI summary

The present invention relates to a digital copyright creation module that creates a digital copyright of digital content created using generative AI, and a digital content distribution apparatus and method using the same, and the digital content distribution apparatus includes a digital content creation management unit; and a digital content distribution management unit.