Training Data Permission Control Through Source Verification

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The lack of effective control over the source of training data used in artificial intelligence models leads to disputes regarding ownership, which can arise during the use of these models.

Innovation Solution

A method and system that verify the source of training data through source verification information, enabling usage permission only if the source meets predetermined conditions, and disabling it otherwise, using blockchain and digital verification technologies to ensure legal usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If training data is collected without source verification, then the quantity and diversity of training data increases, but disputes regarding ownership and legal usage arise

Engineering Contradiction:

Improvequantity of training dataVSAvoidownership clarity

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system performs source verification and obtains usage permission before the training data is actually used. By checking the source and securing authorization in advance, the system ensures that all training data collected has clear ownership and legal usage rights, thereby preventing future disputes while still enabling large-scale data collection

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary verification mechanism that acts as a mediator between data collectors and data sources. This intermediary checks source verification information and grants usage permission, ensuring that the relationship between training data and its source is clear and legally sound, thus resolving the contradiction between data quantity and ownership reliability

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If source verification is performed for all training data, then ownership disputes are reduced, but the complexity of the data collection process increases

Engineering Contradiction:

Improveownership clarityVSAvoiddata collection process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system implements automated source verification and usage permission determination through a processor that autonomously checks source verification information and decides whether to grant usage permission. This self-service mechanism reduces the need for manual verification, thereby maintaining high ownership clarity while minimizing the increase in process complexity

Inventive Principle:

Principle #25Self-service

3Reliability

If usage permission is controlled based on source verification, then legal compliance is improved, but the time required for data processing increases

Engineering Contradiction:

Improvelegal complianceVSAvoiddata processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs source verification and usage permission determination as a preliminary step before training data processing. By completing these legal compliance checks in advance, the system ensures that all subsequent data processing operations are legally compliant, while the automated nature of the verification minimizes the time penalty

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual legal verification processes with an automated processor-based mechanism that checks source verification information and determines usage permission. This substitution of mechanical/manual verification with automated electronic processing significantly reduces the time required while maintaining high legal compliance standards

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260030379A1Method and system for controlling usage permission of training data

Publication Date: 2026.01.29 ACER INC

AI summary

A method and system for controlling a usage permission of training data are provided. The method includes: obtaining source verification information corresponding to first training data; confirming a source of the first training data based on the source verification information; enabling a usage permission corresponding to the first training data if the source of the first training data meets a predetermined condition and training a computing model based on the first training data; and disabling the usage permission corresponding to the first training data if the source of the first training data does not meet the predetermined condition.