AI Micro-Community System for Secure User Connections
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Solution Overview
Problem
Large organizations face challenges in securely and reliably connecting users with similar interests or needs across internal and external computer systems to provide effective support for their products and services, as current mechanisms lack verification of user input reliability.
Innovation Solution
An AI/ML model is trained to identify patterns in user activities, forming micro-communities based on common interests and needs, and managing these communities by connecting users, providing targeted recommendations, and implementing fraud protections within a secure network framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current mechanisms are used to connect users across internal and external computer systems, then user connections can be established, but the reliability of user input cannot be verified
Solution Approach 1:
The patent introduces a micro-community as an intermediary structure between individual users and the organization. This micro-community validates user input reliability collectively rather than requiring complex individual verification mechanisms. The community acts as a mediator that assesses and certifies the reliability of its members' inputs.
Solution Approach 2:
The system implements feedback mechanisms where user inputs are evaluated by the micro-community and feedback is provided about reliability assessments. This feedback loop allows the system to learn and improve its ability to verify user input reliability over time without increasing structural complexity.
2Object-affected harmful factors
If a secure network is created to establish micro-communities, then user safety and reliability are enhanced, but system complexity increases
Solution Approach 1:
The patent segments the large organization into smaller micro-communities, each operating within its own secure framework. This segmentation reduces the complexity of the overall secure network by creating manageable, isolated communities rather than requiring a single complex security system for the entire organization.
Solution Approach 2:
The system performs preliminary actions by pre-establishing secure frameworks and validation rules for micro-communities before users interact. This preliminary setup of security protocols and community guidelines reduces the need for complex real-time security decisions during user interactions.
Data Source
AI summary
A computing platform to form creative micro-communities of users aggregates electronic data records about electronic activities performed via one or more application computing systems providing products or services to users. An artificial intelligence/machine learning (AI/ML) model is continually trained to identify users with similar interests and group users into micro-communities based on the identified common interests. The computing platform generates micro-communities based on AI determined features or identifiers of a user, or a user may self-identify in a particular category to join the micro-community. Each micro-community may have tiers of participants that may be identified via the AI/ML models. Each micro-community may have customized rules, parameters, or the like, such as protections from certain types of communications.