AI Native OS Wrapper for Privacy-Preserving Resource Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing computing technologies fail to fully exploit the vast array of resources provided by modern computing setups, and users face privacy concerns when interacting with various services, lacking a practical means to apply resource possibilities beyond their knowledge and ability, and struggling with data security.
Innovation Solution
An AI native operating system wrapper (AINOSW) acts as an abstraction layer that learns user information and preferences to provide customized services, security, and data privacy, reducing data collection to 'one' while anonymizing user data and automating tasks, using a hardware and software computing arrangement with standardized resources and subsystems for resource identification and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users directly access vast distributed computing resources through existing computing technologies, then resource accessibility and functionality are improved, but privacy concerns and data security risks worsen
Solution Approach 1:
The patent introduces an AI intermediary layer that sits between users and distributed computing resources. This AI agent autonomously manages resource access, authentication, and data protection, allowing users to leverage vast computing resources while the AI handles privacy concerns and security risks through intelligent mediation and selective data sharing.
2Ease of operation
If users manually manage and command computing resources, then control and customization are improved, but complexity and time consumption worsen
Solution Approach 1:
The patent implements a self-service mechanism where an AI agent autonomously manages computing resource allocation, configuration, and optimization without requiring continuous user intervention. The AI learns user preferences and patterns, automatically commanding resources based on detected needs, thereby maintaining control and customization while eliminating time-consuming manual management.
3Adaptability or versatility
If AI learns and stores user information to provide customized services, then service personalization and user experience are improved, but data collection volume and storage requirements worsen
Solution Approach 1:
The patent extracts and utilizes only the essential user information needed for personalization, rather than collecting comprehensive data. The AI agent selectively identifies and learns key user preferences, behaviors, and patterns required for customized service delivery, leaving unnecessary data collection out of the system, thereby achieving personalization with minimal data volume.
4Productivity
If traditional computing systems process and manage user data, then service delivery is improved, but memory and computation resource consumption worsen
Solution Approach 1:
The patent replaces traditional mechanical computing systems with an AI-based intelligent system that processes and manages user data more efficiently. The AI agent utilizes advanced algorithms and machine learning techniques to optimize service delivery, reducing redundant computations and memory usage compared to conventional systems, thereby improving productivity while lowering resource consumption.
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.