AI Learning System Using Messaging Service for Answer Relay
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Solution Overview
Problem
Conventional AI systems face challenges in providing relevant and reliable answers to user queries, as they often receive tangentially related information and may rely on unqualified users for answers, regardless of their social media connections.
Innovation Solution
An AI learning method and system that transmits question data to users through a messaging service, verifies communication sessions, receives answers, and generates learning data to train the AI, while also enabling direct answers and answer relay from qualified specialists in specific fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engine methods are used to retrieve information, then a large amount of information can be obtained, but the information is tangentially related and requires extra time to sort out
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between the user and the information sources. The AI assistant receives user queries, automatically searches multiple sources, filters and synthesizes the information, then presents refined answers to users. This mediator eliminates the need for users to manually sort through tangential search results while maintaining access to comprehensive information.
2Productivity
If answers are retrieved from pre-configured databases or social media users, then answers can be provided quickly, but the answers may come from unqualified users regardless of their expertise
Solution Approach 1:
The patent replaces manual verification of user credentials with an AI-based automatic verification system. The AI assistant analyzes user profiles, expertise indicators, and answer quality metrics to automatically assess whether a user is qualified to answer specific questions. This substitution maintains quick answer retrieval while ensuring reliability through intelligent filtering.
Solution Approach 2:
The system implements feedback mechanisms where user answers are evaluated by the AI assistant and other users. Quality metrics, expertise verification, and performance tracking provide continuous feedback that refines the selection process. This feedback loop ensures that only answers from qualified users are selected while maintaining rapid response times through pre-screening.
3Measurement precision
If AI learning systems are trained with user answers, then the AI can improve its responses, but the system requires verification of communication sessions and selection of qualified users
Solution Approach 1:
The patent implements preliminary verification of communication sessions and user qualifications before AI training data is collected. User credentials, expertise levels, and communication session authenticity are verified in advance through automated checks. This preliminary action ensures high-quality training data without requiring complex verification during the AI learning process itself.
Data Source
AI summary
Provided are an artificial intelligence (AI) learning method and system and an answer relay method and system using an AI. According to an AI learning method, an AI may transmit a question to users through a messaging service and may acquire learning data for the AI through reactions of the user to the transmitted question.