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. 14, 2026

Filed:

Mar. 30, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

John Thomas Richards, Honeoye Falls, NY (US);

Thomas Hampp-Bahnmueller, Stuttgart, DE;

Michael Hind, Cortlandt Manor, NY (US);

David John Piorkowski, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0482 (2013.01); G06F 3/0484 (2022.01); G06F 40/106 (2020.01); G06F 40/186 (2020.01);
U.S. Cl.
CPC ...
G06F 40/186 (2020.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06F 40/106 (2020.01);
Abstract

Provided are techniques for dynamic fact contextualization in support of AI model development. A template from a plurality of templates is selected, where the template includes definitions for identifying facts. The facts are retrieved from a facts repository based on the definitions. It is determined that that the facts are valid based on one or more policies. A FactSheet is generated using the template and the facts. A machine learning model is used to identify one or more deficient facts from the FactSheet. The FactSheet is displayed in a preview with the one or more deficient facts. One or more facts corresponding to the one or more deficient facts are located. The FactSheet is updated to correct the one or more deficient facts with the corresponding facts.


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