AI Native OS Wrapper for Privacy-Preserving Resource Automation
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Solution Overview
Problem
Current computing technologies face challenges in fully exploiting the vast array of resources offered by modern computing setups, including privacy concerns for users interacting with various services, and lack practical means for individuals or groups to utilize these resources effectively beyond their knowledge and abilities.
Innovation Solution
An AI native operating system wrapper (AINOSW) is introduced, acting as an abstraction layer that reduces user data collection, provides customized services, security, and data privacy by learning user information and preferences to automate tasks and inform resource selection, while anonymizing data as needed, and utilizing a distributed hierarchy of modules for resource identification and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing arrangements are expanded to provide access to enormous range of resources, then resource utilization capability is improved, but complexity of system operation worsens
Solution Approach 1:
The patent introduces an AI intermediary layer that sits between users and the vast computing resources. This AI agent translates user intents into resource commands, manages resource allocation, and coordinates interactions across distributed systems, thereby resolving the complexity of operating extensive computing arrangements while maintaining high resource utilization capability
2Adaptability or versatility
If AI model collects extensive user data to provide personalized services, then service personalization is improved, but user privacy protection worsens
Solution Approach 1:
The patent extracts and separates personally identifiable information (PII) from user data collections. The system removes sensitive information while retaining behavioral patterns and preferences needed for personalization, thereby maintaining service customization while protecting user privacy by taking out the harmful elements from the data set
Solution Approach 2:
The patent creates anonymized copies of user data that preserve behavioral characteristics and preferences necessary for personalization while eliminating identifying information. These synthetic or anonymized data copies enable personalized services without exposing actual user identities or sensitive personal information
3Adaptability or versatility
If distributed computing resources are utilized to provide diverse services, then service variety is improved, but difficulty in managing and coordinating resources worsens
Solution Approach 1:
The patent implements self-service mechanisms where the AI agent autonomously manages distributed computing resources without requiring manual coordination. The system automatically discovers available resources, allocates them based on service requirements, monitors performance, and reconfigures allocations dynamically, enabling diverse service delivery while eliminating complex manual resource management
Data Source
AI summary
Embodiments described herein provide systems and methods for an AI native operating system wrapper. Methods may include receiving, by a computing device via a user interface, a user input associated with an application; receiving, by the computing device via a data interface, stored information associated with the user; determining, via an artificial intelligence (AI) model based on the user input and the stored information, one or more actions, performing the one or more actions on the application; and transmitting output from the application to the user interface.