Blockchain AI Chain for Verified Access to Registered AI Models
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Solution Overview
Problem
There is a need for a method to register and manage unit artificial intelligences (AIs) and manager AIs that comply with strict verification and test standards, preventing certification content and algorithm code from being arbitrarily manipulated, while ensuring compliance with legal and ethical guidelines.
Innovation Solution
A blockchain-based manager AI chain system that stores and manages AI information, including unit AIs and manager AIs, performs authentication and proof tests, and generates proof information to ensure compliance and integrity of AI operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a blockchain-based manager AI chain system is implemented to store and manage AI information, then security and integrity of AI operations are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The system segments AI operations into unit AIs and manager AIs, with the manager AI chain specifically responsible for storing and managing AI information. This segmentation allows the complex blockchain functionality to be isolated to a dedicated component rather than distributed throughout the entire system, reducing overall complexity while maintaining reliability.
Solution Approach 2:
The manager AI chain acts as an intermediary between external systems and the core AI operations. It stores AI information including authentication credentials and performs proof tests, serving as a trusted mediator that ensures integrity without requiring direct blockchain integration in every AI operation, thereby reducing system complexity.
2Reliability
If authentication information and AI information are stored in the manager AI chain, then security and access control are improved, but data access time and operational efficiency decrease
Solution Approach 1:
Authentication information and AI information are pre-stored in the manager AI chain before actual AI operations occur. By having this information readily available in advance, the system avoids time-consuming data retrieval during critical operations, thus minimizing access time delays while maintaining strict security controls.
Solution Approach 2:
The system replaces traditional mechanical authentication methods with cryptographic proof tests performed by the manager AI chain. This substitution enables faster, more secure verification of AI information access rights without the delays associated with conventional authentication mechanisms, improving both security and access speed.
3Reliability
If proof tests and authentication verification are performed by the manager AI chain, then compliance and authenticity are improved, but processing time and operational complexity increase
Solution Approach 1:
The manager AI chain performs proof tests and authentication verification autonomously using pre-stored AI information and authentication credentials. This self-service capability eliminates the need for external verification processes, reducing processing time and operational complexity while maintaining strict compliance and authenticity verification.
Solution Approach 2:
The system implements a feedback mechanism where the manager AI chain continuously verifies AI information authenticity and compliance through proof tests. This automated feedback loop ensures ongoing compliance verification without requiring manual intervention, maintaining high reliability while improving processing efficiency through streamlined verification procedures.
Data Source
AI summary
Provided is an artificial intelligence (AI) management system including at least one unit AI configured to perform a preset operation, manager AI configured to perform a complex operation based on the at least one unit AI, and a manager AI chain having at least one node device controlling an access of an external system to at least one piece of AI information of the at least one unit AI and the manager AI. The manager AI chain is configured to store the at least one piece of AI information of the at least one unit AI and the manager AI.