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:
Jun. 18, 2024

Filed:

Dec. 10, 2020
Applicant:

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

Inventors:

Paul R. Bastide, Ashland, MA (US);

Matthew E. Broomhall, Goffstown, NH (US);

Robert E. Loredo, North Miami Beach, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/28 (2013.01); G06F 18/24 (2023.01); G06N 5/04 (2023.01); G16H 80/00 (2018.01);
U.S. Cl.
CPC ...
G16H 80/00 (2018.01); G06F 18/24 (2023.01); G06N 5/04 (2013.01);
Abstract

A method, system, and computer program product to prevent misinterpretation of communications via artificial intelligence assistants. The method includes monitoring an artificial intelligence enabled communication. The method also includes analyzing messages, participants, and actions within the communication. The method also includes identifying critical data within the communication. The method also includes determining critical sequence data, where the critical sequence data is a sequence of conversation elements that contains the critical data. The method also includes predicting an uncertainty level for the critical sequence data, where the uncertainty level indicates an amount of uncertainty that the artificial intelligence correctly interprets the critical sequence data. The method also includes determining that the uncertainty level for the critical sequence data is above a threshold uncertainty value, resulting in critical sequence data that is subject to misinterpretation. The method also includes resolving any uncertainties for the critical sequence data.


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