METHOD AND SYSTEM FOR IDENTIFYING POTENTIAL FRAUD ACTIVITY IN A TAX RETURN PREPARATION SYSTEM, AT LEAST PARTIALLY BASED ON DATA ENTRY CHARACTERISTICS OF TAX RETURN CONTENT

Patent №

US 11,087,334

Granted

2021-08-10

Filed 2017

Owner

INTUIT INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15478511

Stolen identity refund fraud is one of a number of types of Internet-centric crime (i.e., cybercrime) that includes the unauthorized use of a person's or business' identity information to file a tax return in order to illegally obtain a tax refund from, for example, a state or federal revenue service. Because fraudsters use legitimate identity information to create user accounts in tax return preparation systems, it can be difficult to detect stolen identity refund fraud activity. Methods and systems of the present disclosure identify and address potential fraud activity. The methods and systems analyze data entry characteristics of tax return content that is provided to a tax return preparation system to identify potential fraud activity and perform one or more risk reduction actions in response to identifying the potential fraud activity.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06Q 30/0185G06N 20/00G06Q 40/123H04L 51/046H04L 51/18H04L 51/212H04L 63/0272H04L 63/0876+2 more

AI classification

Machine learning1.00
Planning1.00
Natural language1.00
AI hardware1.00
Knowledge representation0.96
Vision0.26
Evolutionary computation0.01
Speech0.00

Ownership

INTUIT INC.

assignment · 418440326

Assignors

MCEACHERN, KYLE, RAMBO, BRENT

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

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