Dynamic Consent Management for AI-Generated Digital Likeness Content
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Solution Overview
Problem
Existing systems in the adult entertainment industry lack effective control over content creation and distribution, particularly in terms of consent management, leading to potential exploitation and loss of control for content creators, especially in the case of explicit content, and there is a need for personalized and dynamic content generation using artificial intelligence while ensuring user consent and privacy.
Innovation Solution
A system integrating a generative artificial intelligence (AI) for creating customized adult content, with a dynamic consent management subsystem that allows content providers to set and manage how their digital likeness is used, enabling real-time consent management and personalized content generation based on predefined settings, and includes a content consumer interface for generating content that adheres to these settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional content creation models are used, then content can be created and uploaded, but content creators lose control over the content after upload and may be exploited
Solution Approach 1:
The system segments content control into multiple layers: content creation, content distribution, and content monitoring. Each layer has specific control mechanisms, with watermarks and metadata embedded at creation, distribution tracking at the platform level, and recall capabilities implemented as separate functionality. This segmentation allows comprehensive control without requiring a single complex system.
Solution Approach 2:
The patent introduces an intermediary control system that acts as a mediator between content creators and content distributors. This intermediary layer implements consent management, watermarking, and tracking mechanisms that enable creators to maintain control over their content throughout the distribution chain without directly managing each distribution channel.
2Reliability
If content is shared with select people, then personal relationships are maintained, but content cannot be recalled or deleted from the other person's device
Solution Approach 1:
The system performs preliminary actions by embedding watermarks, metadata, and tracking identifiers in content before it is shared. These preliminary markers enable the content to be identified and traced after distribution, allowing for recall or deletion operations without requiring direct access to the recipient's device.
Solution Approach 2:
The patent implements a virtual copy control mechanism where the content creator maintains a digital record or copy of the distributed content with embedded identifiers. This virtual copy enables the creator to track and manage the content's distribution status and initiate recall procedures without needing physical access to the recipient's storage devices.
3Productivity
If AI generates content with participant's likeness, then demand can be met without physical involvement, but consent management and privacy concerns arise
Solution Approach 1:
The system implements self-service consent management where participants can directly configure their own consent settings, permissions, and preferences through the platform. This self-service approach allows participants to maintain control over how their likeness is used in AI-generated content without requiring manual verification for each generation, thus enabling high productivity while ensuring reliable consent management.
Solution Approach 2:
The patent incorporates feedback mechanisms where the AI system continuously monitors and reports back to participants about how their likeness is being used. This feedback loop includes information about generated content, usage statistics, and consent compliance, allowing participants to adjust their preferences and maintain informed consent while the system maintains high generation efficiency.
4Adaptability or versatility
If deep fakes are created without control, then malicious or illegal purposes can be achieved, but the technology itself has legitimate uses
Solution Approach 1:
The system applies preliminary anti-action by embedding protective watermarks, metadata, and usage restrictions in content before it can be misused. These preemptive measures include consent-based access controls, distribution tracking, and automated monitoring that prevent malicious uses before they can occur, while still allowing legitimate uses to proceed.
Solution Approach 2:
The patent implements a digital identification system that marks content with unique identifiers and consent status indicators. This identification system allows the system to distinguish between authorized and unauthorized uses, enabling flexible adaptability for legitimate purposes while automatically blocking or flagging potential misuse based on the embedded identifiers and consent parameters.
Data Source
AI summary
A system and method for automatically generating customized adult content that conforms to content provider determined settings and incorporates a digital likeness of a content provider. The adult content generation system comprises a content consumer system which has an artificial intelligence system. The adult generation system has a content provider system with a dynamic consent management subsystem and content provider determined settings that determine how a digital likeness is used. The content generation subsystem receives input from a content consumer with parameters for generating adult content. The input is analyzed for compliance with content provider determined settings. The artificial intelligence system then creates and displays the customized adult content to the content consumer. The customized adult content conforms with both the input parameters and the content provider determined settings.