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. 29, 2025

Filed:

Mar. 24, 2022
Applicant:

Sri International, Menlo Park, CA (US);

Inventors:

Arijit Ray, Princeton, NJ (US);

Michael A. Cogswell, West Windsor, NJ (US);

Ajay Divakaran, Monmouth Junction, NJ (US);

Yi Yao, Princeton, NJ (US);

Giedrius T. Burachas, Princeton, NJ (US);

Kamran Alipour, San Diego, CA (US);

Assignee:

SRI International, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/70 (2022.01); G06F 16/53 (2019.01); G06F 16/538 (2019.01); G06T 11/00 (2006.01); G06V 10/77 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/98 (2022.01); G06T 11/001 (2013.01); G06V 10/7715 (2022.01); G06V 10/776 (2022.01);
Abstract

A computing system comprising a memory configured to store an artificial intelligence (AI) model and an image, and a computation engine executing one or more processors may be configured to perform the techniques for error-based explanations for AI behavior. The computation engine may execute the AI model to analyze the image to output a result. The AI model may, when analyzing the image to output the result, process, based on data indicative of the result, the image to assign an error score to each image feature extracted from the image, and obtain, based on the error scores, an error map. The AI model may next update, based on the error map and to obtain a first updated image, the image to visually indicate the error score assigned to each of the image features, and output one or more of the error scores, the error map, and the first updated image.


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