Outgoing Message AI Filter for Accuracy Without Delay
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Solution Overview
Problem
Electronic communications are often sent without proper review, leading to mistakes such as incorrect recipients, attachments, or content errors, which can be missed by users.
Innovation Solution
A quantum computing system with an AI filter engine analyzes outgoing communications using historical data to identify inconsistencies, allowing for real-time correction and prevention of transmission of flawed messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI filtering is applied to outgoing electronic communications, then the accuracy and reliability of communications are improved, but the transmission time and speed are worsened
Solution Approach 1:
The system performs preliminary filtering and validation of electronic communications before they are transmitted. The AI filter engine analyzes outgoing communications in advance to identify and correct errors such as wrong recipients, attachments, or content mistakes, ensuring reliability is improved prior to transmission occurring.
Solution Approach 2:
An AI filter engine is introduced as an intermediary component between the user device and the transmission system. This intermediary uses machine learning models to analyze and validate communications, acting as a mediator that improves reliability while managing the time cost through efficient processing.
2Measurement precision
If comprehensive AI filtering is implemented, then the detection of errors is improved, but the processing complexity and system resources are worsened
Solution Approach 1:
The AI filter engine applies different levels of filtering and analysis to different types of communications based on their characteristics and importance. Not all communications require the same level of scrutiny, allowing the system to maintain high error detection capability while reducing processing complexity for less critical messages.
Solution Approach 2:
The system dynamically adjusts filtering parameters and AI model sensitivity levels based on communication type, user preferences, and contextual factors. This allows comprehensive error detection when needed while simplifying processing for routine communications, balancing precision with complexity.
Data Source
AI summary
Systems, methods, and apparatus may be provided for filtering outgoing electronic communications that are generated at user devices using an artificial intelligence (AI) filtering system operating in a quantum computing environment. The hybrid AI/quantum system filters the electronic communications before transmission to recipients. The AI filter may include an AI model that has been trained with an electronic record of historical communications for the user. The AI filtering at the quantum computer may check outgoing electronic communications for incorrect or missing information. Electronic communications with identified issues may be flagged to a user, and changes to the communications may be suggested. A flagged electronic communications may be released for transmission to the recipients after the user modifies the electronic communication or may be released by the user without making changes. Electronic communications to be filtered may include, for example, emails, text messages, or instant messages.