The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 2026

Filed:

Jan. 17, 2025
Applicant:

Jpmorgan Chase Bank, N.a., New York, NY (US);

Inventors:

Allan Anzagira, Long Island City, NY (US);

Freddy Lecue, Mamaroneck, NY (US);

Nicolas Marchesotti, London, GB;

Nikolai Slobodianik, Bayonne, NJ (US);

Alexey Kvashchuk, Somers, NY (US);

Assignee:

JPMORGAN CHASE BANK, N.A., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/57 (2013.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 2221/033 (2013.01);
Abstract

A method and a system for assessing trustworthiness of an artificial intelligence (AI) model are provided. The method includes: accessing an explainable artificial intelligence (XAI) asset that relates to the AI model; accessing a document that relates to the AI model; separating the XAI asset into XAI asset chunks; separating the document into document chunks; generating, via a pre-trained model, a plurality of chunk embeddings that includes respective embeddings for the XAI asset chunks and the document chunks; accessing a query that relates to the trustworthiness of the AI model; generating, via the pre-trained model, a query embedding for the query; calculating an embedding similarity score for each chunk embedding; selecting a chunk embedding having the highest embedding similarity score; generating a context embedding by aggregating the query embedding with the selected chunk embedding; and generating a response to the query based on the context embedding.


Find Patent Forward Citations

Loading…