AI Statement Consistency Assessment System
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Solution Overview
Problem
In social media environments, individuals often maintain different discourses with various groups, leading to inconsistencies in statements provided to different recipient groups, which can result in incomplete or disparate information, and existing solutions struggle to efficiently identify and address these inconsistencies.
Innovation Solution
A system utilizing an AI platform with a match manager, natural language processing, and an AI manager to assess statements for inconsistencies by comparing a received statement with historical statements targeting the same or related recipient groups, and providing notifications and alternative statements to resolve inconsistencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an entity maintains different discourses with different recipient groups, then the entity can tailor information to specific audiences, but inconsistencies arise between statements made to different groups
Solution Approach 1:
The system implements a feedback mechanism where statements made to different recipient groups are automatically compared against each other. The AI platform analyzes semantic consistency across multiple discourses and provides feedback to the entity when inconsistencies are detected, allowing the entity to maintain adaptability while ensuring reliability through automated monitoring.
Solution Approach 2:
The patent introduces an intermediary AI platform that acts as a mediator between the entity's multiple discourses. This intermediary automatically compares statements across different recipient groups, identifies inconsistencies without requiring direct human intervention, and provides notifications to resolve conflicts, thus maintaining both adaptability and consistency.
2Measurement precision
If manual monitoring of statements across multiple recipient groups is performed, then inconsistencies can be identified, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system implements self-service by enabling automated self-monitoring of statements across recipient groups. The AI platform automatically detects inconsistencies without requiring external human resources, allowing the entity to maintain precise detection of inconsistencies while eliminating the time loss associated with manual monitoring.
Solution Approach 2:
The patent replaces the mechanical system of manual statement monitoring with an automated AI-based system. The AI platform uses natural language processing and semantic analysis to automatically detect inconsistencies, substituting human effort with automated computational processes that achieve the same detection precision without time loss.
3Measurement precision
If all historical statements are compared against a new statement, then comprehensive inconsistency detection is achieved, but the computational complexity increases significantly
Solution Approach 1:
The system applies segmentation by dividing the corpus of historical statements into relevant segments based on recipient group matches. Rather than comparing a new statement against all historical statements, the system segments and compares only against statements from matching recipient groups, achieving comprehensive detection within the relevant segment while reducing overall computational complexity.
Solution Approach 2:
The patent implements local quality by applying different comparison criteria and levels of analysis to different segments of historical statements based on their relevance to the current recipient group. The AI platform adjusts the depth and scope of analysis locally for each matched statement, ensuring thorough inconsistency detection where needed while reducing computational effort for less relevant comparisons.
Data Source
AI summary
Embodiments are provided that relate to a computer system, a computer program product, and a machine-implemented method for assessing a statement by an entity to a recipient group, particularly in a social media environment, for an inconsistency with a previous (historical) statement to the same recipient group, and notifying the entity of the inconsistency. In certain embodiments, an alternative statement is provided.