18521391. APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18521391 titled 'APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL
Simplified Explanation
The abstract describes a method for verifying the reliability of an artificial intelligence (AI) model by creating a verification twin to evaluate the AI model's reliability based on information collected while the AI model is executed on the digital twin network.
- Receiving an AI model request
- Creating a verification twin for evaluating the AI model
- Verifying the reliability of the AI model based on information collected during execution on the digital twin network
Potential Applications
The technology could be applied in various industries where AI models are used, such as healthcare, finance, and autonomous vehicles.
Problems Solved
This method helps ensure the reliability of AI models, reducing the risk of errors or biases in decision-making processes.
Benefits
- Improved trust in AI systems - Enhanced accuracy and performance of AI models - Increased transparency in AI decision-making processes
Potential Commercial Applications
Optimizing AI models in industries such as healthcare for better patient outcomes and cost-efficiency.
Possible Prior Art
There may be prior art related to verifying the reliability of AI models using digital twin technology, but specific examples are not provided.
Unanswered Questions
How does this method compare to traditional methods of verifying AI model reliability?
This article does not provide a comparison with traditional methods of verifying AI model reliability. It would be interesting to know if this method is more efficient or accurate than existing approaches.
What are the potential limitations or challenges of implementing this verification twin method?
The article does not address any potential limitations or challenges that may arise when implementing the verification twin method. It would be helpful to understand any obstacles that organizations may face when adopting this technology.
Original Abstract Submitted
A method for verifying reliability of an artificial intelligence (AI) model includes receiving an AI model request; creating a verification twin for evaluating the reliability of the AI model; and verifying the reliability of the AI model based on information collected while the AI model is executed on the digital twin network.
