Consent-Based User Image Generation With Identity Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face limitations in expressing themselves through electronic devices due to environmental and media availability constraints, seeking more creative control over visual self-expression.
Innovation Solution
A system utilizing generative AI to generate personalized media items based on user-provided reference images, with consent-based access and verification processes to ensure privacy and authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users want to express themselves creatively through media, then self-expression capability is improved, but privacy and security risks increase due to use of likeness data
Solution Approach 1:
The system performs preliminary identity verification and obtains explicit user consent before accessing and storing likeness data. Users are prompted to verify their identity and authorize the system to access their photos or videos, ensuring they understand how their data will be used for generating personalized media content.
Solution Approach 2:
The system acts as an intermediary between users and the AI generation process. It includes a permission store that mediates access to likeness data, ensuring only verified users can provide and control their own data, while preventing unauthorized access or misuse of personal information.
2Adaptability or versatility
If the system accesses user likeness data for personalized media generation, then media personalization is improved, but data security requirements increase
Solution Approach 1:
The system performs preliminary identity verification and stores permission information before accessing user likeness data. This ensures that only authenticated users can provide their data and control its usage, establishing security protocols in advance before any data processing occurs.
Solution Approach 2:
The permission store serves as a secure intermediary layer between the AI generation system and user data. It manages access rights and verifies authorization, ensuring that likeness data is only accessed and used for the specific purpose of generating personalized media content for the authorized user.
3Object-affected harmful factors
If the system verifies user identity and obtains consent, then privacy protection is improved, but system complexity increases
Solution Approach 1:
The system segments the authentication and data management functions into distinct components: identity verification, permission storage, and data access control. This modular approach organizes the complexity into manageable parts, where each component handles a specific aspect of privacy protection independently.
Solution Approach 2:
The permission store acts as a dedicated intermediary component that handles all privacy-related operations. It separates the complexity of identity verification and data access control from the main AI generation process, providing a focused mechanism for privacy protection that simplifies the overall system architecture.
Data Source
AI summary
A method includes verifying an identity of a first user based on one or more first reference images of the user. The method also includes determining, based on a prompt provided to a computing system by the first user, a context and whether the prompt references the first user. The method further includes retrieving, from a first private memory store associated with the first user, the one or more first reference images based on the first user having granted permission to use the one or more first reference images. The method still further includes generating, using a generative AI model, a media item based on the context, the prompt, and the one or more first reference images. The method also includes displaying the generated media item via a user interface associated with the first user.