AI Character Safety Control via Context-Aware Dynamic Adjustment
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Solution Overview
Problem
Conventional virtual character models lack adaptability and flexibility in adjusting their behavior based on user-centric and contextual factors, such as age, maturity level, and environmental changes, limiting their safety settings and user experience in diverse software applications.
Innovation Solution
A system and method for controlling safety settings of AI character models that dynamically adjust based on context, using a processor to determine and adjust safety levels, incorporating context-aware safety settings that consider user-related parameters and environmental factors, allowing for personalized and immersive interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional virtual character models use predefined rules and rigid logic, then they are easy to manufacture and operate, but they lack adaptability to user emotions, actions, and environmental changes
Solution Approach 1:
The patent implements dynamic safety settings that automatically adjust based on real-time context analysis. The system transitions from static, predefined safety rules to dynamic safety controls that respond to user behavior patterns, emotional states, and environmental factors, enabling the virtual character to adapt safety levels dynamically during interactions.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions, responses, and contextual data are continuously monitored and fed back into the safety control system. This feedback loop enables the system to learn from user behavior patterns and automatically adjust safety settings, resolving the contradiction between adaptability and system complexity through intelligent automation.
2Adaptability or versatility
If virtual character models provide fixed safety settings, then they are simple to implement, but they cannot dynamically adjust behavior based on user-related parameters and contextual factors
Solution Approach 1:
The safety control system operates autonomously by self-adjusting safety settings based on analyzed context data. The system performs self-monitoring of user interactions and automatically modifies safety parameters without requiring manual reconfiguration, enabling flexible contextual adaptation while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system dynamically changes safety parameters such as allowed topic ranges, response tone, and interaction depth based on real-time context analysis. By automatically adjusting these parameters according to user-related parameters and environmental factors, the system achieves flexible behavior adaptation without complicating the user experience.
3Reliability
If AI character models generate content without context-aware safety controls, then content generation is fast and simple, but safety compliance and user experience quality deteriorate
Solution Approach 1:
The system performs preliminary context analysis and safety assessment before content generation occurs. By pre-evaluating user profiles, interaction history, and contextual factors, the system establishes safety guidelines in advance that guide the content generation process, ensuring safety compliance without significantly delaying content production through efficient parallel processing.
Data Source
AI summary
Systems and methods for controlling safety settings for behavior characteristics of an Artificial Intelligence (AI) character model are provided. An example method includes receiving context associated with the AI character model; determining, based on the context, a level of safety of a content generated by the AI character model; and adjusting, based on the level of safety, the safety settings associated with the content generated by the AI character model. The determination of the level of safety may include determining specific characteristics of an audience interacting with the AI character model in a virtual environment and selecting, based on the specific characteristics, the level of safety from a set of levels of safety.