17962939. DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE simplified abstract (Bank of America Corporation)
Contents
- 1 DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE - 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
DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE
Organization Name
Inventor(s)
Sanjeev J. Nair of Plainsboro NJ (US)
Rahul Kumar Mishra of Skillman NJ (US)
Pushkar Gahlaut of Plainsboro NJ (US)
DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17962939 titled 'DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE
Simplified Explanation
The patent application describes a system for monitoring an artificial intelligence (AI) engine, including receiving decision parameters, encrypting and storing them, updating based on AI output, and transmitting notifications.
- The system receives decision parameters from a network device.
- It encrypts and stores the parameters on a transaction object.
- It receives AI engine output from another network device.
- It updates the transaction object based on the AI output.
- It transmits a notification to the first network device with a decrypted dataset.
Potential Applications
This technology could be applied in various industries where AI engines are utilized, such as healthcare, finance, and autonomous vehicles.
Problems Solved
This system helps in monitoring and managing the decision-making process of AI engines, ensuring transparency and accountability in their operations.
Benefits
The system enhances data security by encrypting decision parameters, improves AI engine performance through real-time monitoring, and facilitates communication between network devices.
Potential Commercial Applications
"Enhancing AI Engine Monitoring and Management in Network Environments"
Possible Prior Art
There may be existing systems for monitoring AI engines, but the specific method of encrypting decision parameters and updating a transaction object based on AI output may be novel.
What are the potential security implications of transmitting decrypted datasets between network devices?
Transmitting decrypted datasets between network devices could pose a security risk as the data may be intercepted or accessed by unauthorized parties, compromising sensitive information.
How does this system ensure the accuracy and reliability of the AI engine output it receives?
The system ensures the accuracy and reliability of the AI engine output by updating the transaction object based on the output, allowing for real-time monitoring and verification of the AI engine's decisions.
Original Abstract Submitted
Systems, computer program products, and methods are described herein for monitoring an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of decision parameters associated with an AI engine; encrypt the first set of decision parameters, generating an encrypted dataset; store the encrypted dataset on a transaction object; receive, from a second network device, an output associated with the AI engine; update the transaction object based on the output associated with the AI engine; and transmit a notification to the first network device, wherein the notification comprises a decrypted dataset.
