AI-Generated Content Digital Marking with Module Signatures
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Solution Overview
Problem
The misuse of generative AI technology for creating fake and plagiarized content poses significant concerns regarding the authenticity of digital content, leading to issues such as deepfakes and fake news dissemination.
Innovation Solution
A system and method for digitally marking AI-generated content by embedding unique digital signatures, including primary and module signatures, to identify the source and components used in content generation, thereby verifying authenticity and improving data security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generative AI technology is used to create digital content, then productivity and content generation capability are improved, but authenticity and reliability of digital content deteriorate due to deepfakes and plagiarism
Solution Approach 1:
The patent applies preliminary action by embedding a digital signature into the AI-generated content at the moment of creation. This proactive marking occurs before the content can be misused or plagiarized, allowing future verification of authenticity without hindering the content generation process.
Solution Approach 2:
The patent introduces a digital signature as an intermediary element that mediates between the AI content generation process and authenticity verification. This digital signature acts as a trusted indicator that bridges the gap between AI-generated content and human verification of its origin, resolving the trust issue without limiting productivity.
2Reliability
If digital signatures are embedded in AI-generated content to verify authenticity, then reliability and traceability are improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent changes the parameter of content representation by adding a digital signature component to the generated content. This parameter change enables authenticity verification while maintaining the core content integrity. The digital signature is integrated into the content structure without fundamentally altering the content generation process.
Solution Approach 2:
The patent applies nesting by embedding the digital signature within the AI-generated content structure itself. The digital signature is nested as part of the content data, allowing verification without requiring separate external systems or complex infrastructure beyond what already processes the content.
3Reliability
If AI tools are required to digitally mark their generated content, then authenticity verification is improved, but ease of operation and accessibility deteriorate
Solution Approach 1:
The patent applies self-service by making the AI tool itself responsible for embedding its digital signature in the generated content. The AI tool automatically performs the marking without requiring user intervention, configuration, or additional steps from the user. This maintains ease of operation while ensuring authenticity verification capability.
Solution Approach 2:
The patent makes the digital signature embedding a universal feature of AI content generation. The same content generation process that creates the content also automatically embeds the authenticity marker, combining two functions into one unified process. This eliminates the need for separate marking steps and maintains accessibility for all users.
Data Source
AI summary
A processor receives request to generate content using an AI tool and generates the requested content using the AI tool. The processor detects that the AI tool used a first AI module and a second AI module associated with the AI tool to generate the requested content. In response, the processor accesses, from a memory, a first digital signature associated with the first AI module and a second digital signature associated with the second AI module. The processor generates a combined digital signature based on the first digital signature and the second digital signature and embeds the combined digital signature in the generated content to generate a marked content.