View source for 17962939. DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE simplified abstract (Bank of America Corporation)

=DISTRIBUTED LEDGER SYSTEM FOR SUPERVISION OF AN ARTIFICIAL INTELLIGENCE ENGINE=


==Organization Name==

[[:Category:Bank of America Corporation|Bank of America Corporation]]


[[Category:Bank of America Corporation]]

==Inventor(s)==

[[:Category:Sanjeev J. Nair of Plainsboro NJ (US)|Sanjeev J. Nair of Plainsboro NJ (US)]][[Category:Sanjeev J. Nair of Plainsboro NJ (US)]]

[[:Category:Rahul Kumar Mishra of Skillman NJ (US)|Rahul Kumar Mishra of Skillman NJ (US)]][[Category:Rahul Kumar Mishra of Skillman NJ (US)]]

[[:Category:Pushkar Gahlaut of Plainsboro NJ (US)|Pushkar Gahlaut of Plainsboro NJ (US)]][[Category: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.



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