Assessing Machine Learning Bias Using Model Training Metadata
Summary
USPTO granted Patent US12608445B2 to Cisco Technology, Inc. on April 21, 2026. The patent describes a system for assessing bias in machine learning models by comparing input data to training metadata retrieved from a ledger associated with the model, then providing a bias indication. The patent contains 20 claims and covers technology used in ML model evaluation workflows.
“The device retrieves metadata regarding training data used to train the machine learning model from a ledger associated with the machine learning model.”
What changed
USPTO granted Patent US12608445B2 to Cisco Technology, Inc. for a method of assessing machine learning model bias. The patent covers a device that receives an inference request, retrieves training metadata from a ledger, compares input data to that metadata, and provides a bias indication for display. CPC classifications include G06N 20/00 (machine learning) and G06F 18/2413 (model bias assessment).
Technology companies developing or deploying machine learning models should note this patent covers a specific approach to automated bias detection. Firms with ML systems that process sensitive input data may wish to review their bias assessment workflows to understand whether similar ledger-based approaches could implicate Cisco's patent rights.
Archived snapshot
Apr 21, 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.
Assessing machine learning bias using model training metadata
Grant US12608445B2 Kind: B2 Apr 21, 2026
Assignee
Cisco Technology, Inc.
Inventors
Chiara Troiani, Aviva Vaknin, Frank Michaud
Abstract
In one embodiment, a device receives a request for a machine learning model to make an inference about input data included in the request. The device retrieves metadata regarding training data used to train the machine learning model from a ledger associated with the machine learning model. The device assesses bias of the machine learning model by comparing the input data in the request to the metadata from the ledger. The device provides an indication of the bias of the machine learning model for display.
CPC Classifications
G06F 18/214 G06F 18/2413 G06F 18/40 G06N 20/00 G06N 3/08
Filing Date
2022-01-20
Application No.
17580061
Claims
20
Mentioned entities
Parties
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