Information Processing Apparatus for AI-Generated Image Posting Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image generation technologies using generative AI fail to accurately identify fabricated images, leading to potential misidentification of fictitious incidents or accidents, which can occur when inappropriate content is posted on social networking services.
Innovation Solution
A system that includes an AI image generation server adding AI-generated identification information to images, and a communication apparatus and SNS server that determine and manage the posting of such images, either by restricting or modifying them to prevent misidentification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generative AI is used to generate images, then image generation capability is improved, but the risk of fabricating fictitious incidents or accidents increases
Solution Approach 1:
The patent applies preliminary action by embedding identification information into AI-generated images at the moment of generation. This proactive measure ensures that images are marked before they can be used to create fabricated content, allowing downstream systems to automatically detect and verify image authenticity without requiring manual intervention later.
Solution Approach 2:
The patent introduces an intermediary mechanism in the form of identification information (such as watermarks or metadata) that mediates between the image generation process and the content verification process. This intermediary element enables automatic detection and verification systems to distinguish AI-generated images from real photographs, thereby mitigating the harmful effects of fabricated content.
2Adaptability or versatility
If AI-generated images are posted on SNS, then content diversity is improved, but user misidentification of fictitious content increases
Solution Approach 1:
The patent employs visual identification markers that can be perceived by users, analogous to color changes. These markers (such as visible watermarks or distinctive patterns) allow users to quickly identify AI-generated images at a glance, maintaining content diversity while preventing misidentification through intuitive visual cues that do not interfere with the image's informational value.
Solution Approach 2:
The patent implements a feedback mechanism where identification information in AI-generated images provides immediate feedback to users about the image's origin. This feedback loop allows users to automatically recognize AI-generated content without requiring education or training, thereby maintaining reliability while preserving content diversity.
3Measurement precision
If image verification is performed to detect AI-generated images, then content accuracy is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-embedding identification information during image generation. This eliminates the need for complex post-generation analysis, allowing verification systems to simply check for the presence of predetermined markers rather than performing computationally intensive AI detection algorithms, thereby maintaining high accuracy with minimal processing time.
Solution Approach 2:
The patent extracts the verification function from complex AI analysis and simplifies it to checking for the presence of embedded identification information. By separating the identification marker from the image content and making it independently verifiable, the system achieves high measurement precision while minimizing processing time and computational complexity.
Data Source
AI summary
A non-transitory computer-readable storage medium stores an application program for using a service that publishes post information for causing an information processing apparatus comprising the application program to execute a determining step of determining whether or not an image included in accepted post information is an image generated by a generative AI, and a restricting step of, in a case of being determined that the image included in the accepted post information is an image generated by the generative AI, restricting posting of the accepted post information.