Generative AI Output Veracity Tracking From Source Data

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Solution Overview

Problem

Existing generative AI technologies fail to assess the degree to which a generation result remains unchanged from its source data, making it difficult to determine the factualness of the generated content.

Innovation Solution

An information processing apparatus that includes a generation unit, a determination unit to assess the veracity of the generation result based on generative AI model information, and a recording unit to associate and store this veracity information in the metadata of the generated data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If generative AI is used to create data, then data generation capability is improved, but the ability to determine factualness of the generated data deteriorates

Engineering Contradiction:
Improvedata generation capabilityVSAvoidfactualness determination
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by determining the veracity of generated data at the moment of generation, rather than attempting to assess it afterward. The veracity determination unit evaluates the degree of change from source data immediately when the generative AI produces output, recording this information in metadata alongside the generated content. This allows factualness assessment to be built into the generation process itself, resolving the contradiction between improved data generation capability and deteriorated factualness determination.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If the source of generative AI data is identified, then data origin tracking is improved, but the assessment of how much the data has changed from the source deteriorates

Engineering Contradiction:
Improvedata origin trackingVSAvoiddegree of change assessment
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The patent implements feedback by creating a closed-loop system where the veracity determination unit continuously compares generated data against source data, quantifies the degree of change, and feeds this veracity information back into the metadata of the generated content. This feedback mechanism provides precise measurement of how much the data has changed from its source, resolving the contradiction between improved data origin tracking and deteriorated degree of change assessment.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260073581A1Information processing apparatus, method of controlling information processing apparatus, and storage medium
Publication Date: 2026.03.12 CANON KK
  • US20260073581A1 patent drawing
  • US20260073581A1 patent drawing
  • US20260073581A1 patent drawing

AI summary

An information processing apparatus comprising: a generation unit configured to acquire a generation result from source data using generative AI; a determination unit configured to determine information indicating a degree to which the generation result remains unchanged with respect to the source data based on information on the generative AI; and a recording unit configured to record the generation result and the information determined by the determination unit in association with each other.