IDENTIFYING DIGITAL PRIVATE INFORMATION AND PREVENTING PRIVACY VIOLATIONS

Patent №

US 11,264,013

Granted

2022-03-01

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · speech · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16375197

Identifying private information and preventing privacy violations is provided by a process that evaluates digital information obtained by an organization as part of a digital information stream from a user. The evaluating identifies a user utterance, including keyword(s), entity/ies, and intent(s), and applies natural language understanding to the digital information to ascertain a contextual understanding for the user utterance. The process selects training set(s) of historical information from available training sets that includes vocabulary used in varying contexts. The process compares the identified user utterance to an ontology based on the selected training set(s), and determines a confidence level that the digital information includes digital private information. The process also flags for the organization an action to take with respect to handling of the digital information. The flagging is based on the determined confidence level that the digital information includes digital private information.

Machine learningNatural languageSpeechKnowledge representationPlanningG10L 15/1822G06F 21/552G06F 21/60G06F 21/6245G06F 40/279G06N 5/022G06N 20/00G10L 15/063+5 more

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Planning1.00
Knowledge representation0.99
AI hardware0.30
Vision0.09
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 487950670

Assignors

RUDDEN, BETH, PERPETUA JR., DENNIS ANTHONY, FREUND, BERNARD

On an employer assignment, the assignors are typically the inventors.

From the same owner

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