Truth-Falsity Determination with Iterative Condition Rechecking
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Solution Overview
Problem
Existing technologies lack an efficient and automated method for improving the accuracy of determining the truth or falsity of information in content, such as news articles, which often includes factually incorrect matters, without the need for expert fact-checking that is time-consuming and costly.
Innovation Solution
An information processing apparatus and method that utilizes a truth/falsity determination unit and a condition changing unit to determine and re-determine the truth or falsity of content using a large language model (LLM), allowing for improved accuracy through iterative condition changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert fact checking is performed on news articles, then determination accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent creates a virtual copy of the expert fact-checking process by training an AI model on expert verification data. The model learns to replicate expert judgment patterns, enabling automated determination that mimics expert accuracy without requiring actual expert involvement for each article verification.
Solution Approach 2:
The patent replaces the mechanical system of human expert fact-checking with an automated AI-based determination system. The AI model processes articles through algorithmic analysis rather than human cognitive evaluation, eliminating time consumption and cost associated with expert labor while maintaining determination capability.
2Measurement precision
If expert fact checking is performed on news articles, then determination accuracy is improved, but cost increases
Solution Approach 1:
The patent creates a virtual copy of the expert fact-checking process by training an AI model on expert verification data. The model learns to replicate expert judgment patterns, enabling automated determination that mimics expert accuracy without requiring actual expert involvement for each article verification.
Solution Approach 2:
The patent replaces the mechanical system of human expert fact-checking with an automated AI-based determination system. The AI model processes articles through algorithmic analysis rather than human cognitive evaluation, eliminating time consumption and cost associated with expert labor while maintaining determination capability.
3Loss of time
If automated truth/falsity determination is implemented, then time consumption is reduced, but determination accuracy deteriorates
Solution Approach 1:
The patent performs preliminary action by training the AI determination model extensively on labeled fact-checked data before deployment. This pre-training phase incorporates expert knowledge and verification patterns into the model, so that when the model operates automatically on new articles, it inherits the accuracy characteristics of expert judgment without requiring real-time expert involvement.
Solution Approach 2:
The patent creates a virtual copy of the expert fact-checking process by training an AI model on expert verification data. The model learns to replicate expert judgment patterns, enabling automated determination that mimics expert accuracy without requiring actual expert involvement for each article verification.
Data Source
AI summary
An information processing apparatus includes a truth/falsity determination unit for determining truth/falsity of a matter suggested in content, and a condition changing unit for changing a condition of truth/falsity determination, and the truth/falsity determination unit redetermines truth/falsity of the matter suggested in the content under a condition after the changing by the condition changing unit. According to the information processing apparatus, it is also possible to avoid making an incorrect decision based on content including incorrect matters.


