Generative Content Registration Database for Secure Lifecycle Tracking
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Solution Overview
Problem
Existing systems struggle to persistently associate data with digital content across its lifecycle, including transmission, transfer, transformation, and derivative generation, leading to challenges in tracking, monitoring, authenticating, and governing AI-generated content due to limitations in metadata extensibility, security, and compliance with rapidly advancing technologies.
Innovation Solution
A content tracking system and method that includes a generated content management platform with services like content container generation, encoding, hashing, and tracking, along with a generative content registration database for persistent storage and management of metadata attributes, ensuring secure and reliable tracking and governance of content containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If semi-permanent in-file metadata is used to track content, then content tracking is enabled, but metadata extensibility is limited and security is compromised
Solution Approach 1:
The system segments content tracking functionality into separate components: native file metadata for basic tracking and external databases for extended metadata storage. This allows the core tracking mechanism to remain reliable while extensibility requirements are met through modular external storage systems.
Solution Approach 2:
The patent introduces intermediary components including content identifiers and external database systems that mediate between the need for reliable tracking and metadata extensibility. These intermediaries allow flexible metadata storage without compromising the integrity of the core tracking mechanism.
2Adaptability or versatility
If content tracking systems are developed to keep pace with rapidly advancing generative AI technologies, then tracking capability is improved, but system complexity increases
Solution Approach 1:
The system employs universal content identifiers and standardized metadata schemas that can adapt to various content types including images, videos, audio, text, and 3D models. This multi-functional approach allows a single tracking framework to handle diverse generative AI outputs without requiring separate complex systems for each content type.
Solution Approach 2:
The patent utilizes changeable parameters including content identifiers, metadata attributes, and tracking rules that can be dynamically adjusted to accommodate evolving generative AI technologies. This allows the system to adapt to new content formats and tracking requirements without fundamental system redesign.
3Reliability
If historical content tracking approaches focused on singular objectives like copyright protection, then those specific functions were achieved, but comprehensive governance capability was lost
Solution Approach 1:
The system implements a universal content tracking framework that simultaneously supports multiple governance objectives including copyright protection, licensing enforcement, provenance tracking, and regulatory compliance. This multi-functional approach allows a single system to address diverse governance requirements that historical singular-focus systems could not handle.
Solution Approach 2:
The patent embeds governance attributes and tracking metadata at the point of content creation and registration, performing preliminary actions that enable future governance enforcement. This proactive approach ensures that copyright protection and other governance mechanisms are already in place before content distribution, rather than requiring separate retroactive systems.
Data Source
AI summary
A generative content registration system may include a processor. A generative content registration system may include a non-transitory memory coupled to the processor configured to store a generative content registration database comprising generative content registration data. A generative content registration system may include a communication service coupled to a network interface, the communication service configured to receive generative content registration-related service requests. A generative content registration system may include a registry service communicatively coupled to the processor, the registry service comprising a generative content registration service, wherein the processor is configured to: receive a plurality of generative content-related metadata attribute values, write the plurality of generative content-related metadata attribute values to the generative content registration database; and retrieve the plurality of generative content-related metadata attribute values from the generative content registration database.