Bank of America AI Parameter Adjustment in Distributed Network Patent Application
Summary
USPTO published Bank of America Corporation's patent application for AI parameter adjustment systems in a distributed network. The application describes methods for analyzing user data with AI engines, generating reports based on defined parameters, and regenerating outputs based on user feedback. Filing date was October 9, 2024.
What changed
USPTO published Bank of America Corporation's patent application describing systems and methods for generating and dynamically adjusting AI engine parameters in a distributed network. The application covers identifying user data, analyzing data with AI engines using defined training parameters, generating outputs and reports, receiving user input, and regenerating outputs based on user feedback.
Patent applications create informational priority rights rather than enforceable obligations. Financial institutions and AI technology developers should monitor this application's progress toward grant status and review whether their AI parameter adjustment methods could be affected if the patent issues.
What to do next
- Monitor for patent grant status
- Review AI parameter adjustment methods for potential licensing needs
- Assess whether existing AI systems may fall within patent scope
Archived snapshot
Apr 10, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SYSTEMS AND METHODS FOR GENERATING AND DYNAMICALLY ADJUSTING ARTIFICIAL INTELLIGENCE ENGINE PARAMETERS IN A DISTRIBUTED NETWORK
Application US20260100895A1 Kind: A1 Apr 09, 2026
Assignee
BANK OF AMERICA CORPORATION
Inventors
Ana Maxim, Sandra Lynn Dube, Manu Jacob Kurian, Marshall Adam Johnson
Abstract
Systems, computer program products, and methods are described herein for generating and dynamically adjusting artificial intelligence engine parameters in a distributed network. The present disclosure is configured to identify user data; analyze, by an artificial intelligence engine, the user data based on defined parameters used to train the artificial intelligence engine; generate an output by the artificial intelligence engine based on the user data analysis; generate, by the artificial intelligence engine, a report comprising information of at least one of the user data analysis for each of the one or more defined parameters or one or more reasons for the output; automatically transmit the report to a user device; receive at least one user input in response to the report; generate, by the artificial intelligence engine, a regenerated output based on the user input; and automatically transmit a regenerated report based on the regenerated output to the user device.
CPC Classifications
H04L 43/065 G06N 20/00 H04L 41/16
Filing Date
2024-10-09
Application No.
18910787
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