AI Screening System for Electronic Communication Content Analysis
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Solution Overview
Problem
Authors of electronic communications face challenges in determining whether sensitive information should be transmitted to recipients, due to complex non-disclosure agreements and varying data access permissions, leading to potential errors or delays in message transmission.
Innovation Solution
A computer-implemented method that analyzes the contents of electronic communications and compares the recipient list to a screening list, using artificial intelligence to determine if transmission is permitted, and provides notifications or blocks transmission if permissions are violated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of electronic communications is performed to ensure compliance with non-disclosure agreements, then transmission accuracy is improved, but productivity deteriorates due to time-consuming verification processes
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated computer-implemented screening system that uses AI models to analyze communication contents and recipient lists, substituting human verification with algorithmic processing to maintain accuracy while improving efficiency
Solution Approach 2:
The screening system performs self-service by automatically analyzing communications, comparing them against non-disclosure agreement criteria, and identifying potential violations without requiring external human intervention, thereby maintaining reliability while enhancing productivity
2Reliability
If comprehensive screening of electronic communications is implemented to prevent unauthorized transmission, then security is improved, but device complexity worsens due to multiple AI models and screening criteria
Solution Approach 1:
The patent segments the screening system into multiple specialized AI models, each trained for specific tasks such as identifying sensitive information types or detecting non-disclosure agreement violations, allowing complex security screening to be divided into manageable modular components
Solution Approach 2:
The screening system achieves universality by designing a multi-functional platform that can handle various types of electronic communications, apply different non-disclosure agreement criteria, and use multiple AI models through a single unified interface, reducing the perceived complexity for users
3Measurement precision
If AI models are trained on diverse non-disclosure agreement data to improve detection accuracy, then measurement precision is improved, but loss of time worsens during the training process
Solution Approach 1:
The patent applies preliminary action by training AI models in advance on comprehensive non-disclosure agreement data before deployment, so that when the system is operational, the models are already optimized for accurate detection without requiring additional training time during message screening
Solution Approach 2:
The system optimizes the balance between training time and detection accuracy by adjusting training parameters such as dataset sampling rates, model complexity levels, and training iteration counts to achieve sufficient precision with reduced training time
Data Source
AI summary
According to certain aspects of the disclosure, a computer-implemented method computer-implemented method may be used for screening electronic communications. The method may comprise analyzing contents of an electronic communication to determine whether the contents include sensitive information. A recipient list of the electronic communication may be compared to a screening list. Based on the analyzing and the comparing, it may be determined whether the contents are permitted to be transmitted to the recipient list. Upon determining that the contents are not permitted to be transmitted to at least one party of the recipient list, a notification may be provided to an author of the electronic communication indicating that contents are not permitted to be transmitted to the at least one party of the recipient list.