SYSTEMS AND METHODS FOR INSULT RATE TESTING AND RECONFIGURING AN AUTOMATED DECISIONING WORKFLOW COMPUTER FOR IMPROVING A MACHINE LEARNING-BASED DIGITAL FRAUD AND DIGITAL ABUSE MITIGATION PLATFORM

Patent №

US 11,068,910

Granted

2021-07-20

Filed 2021

Owner

SIFT SCIENCE, INC.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17222196

A system and method for generating an insult rate and reconfiguring an automated decisioning workflow includes configuring a testing group based on sampling from online events having an adverse disposal decision computed by an automated decisioning workflow computer that is configured with machine learning-based threat score thresholds that, if satisfied, causes a computation of a disallow decision or a block decision for a given online event; evaluating a performance and collecting performance data of distinct members of the testing group over a testing period; computing an insult rate for the testing group based on the performance data; computing an insult rate equilibrium for the automated decisioning workflow computer based on the performance data; evaluating the insult rate against the insult rate equilibrium; and reconfiguring adverse decisioning thresholds based on the evaluation of the insult rate of the testing group against the insult rate equilibrium for the automated decisioning workflow computer.

Machine learningKnowledge representationPlanningAI hardwareG06Q 30/0185G06F 9/541G06F 9/542G06N 20/00G06N 20/20G06Q 10/10G06Q 10/40G06Q 30/0204+2 more

AI classification

Machine learning1.00
Planning1.00
AI hardware1.00
Knowledge representation1.00
Evolutionary computation0.17
Speech0.00
Vision0.00
Natural language0.00

Ownership

SIFT SCIENCE, INC.

assignment · 564270722

Assignors

VEERARAGHAVAN, RAJIV, UMESH, PRADHAN BAGUR, KOTHARI, RISHABH, CHAVER, ABBEY

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

From the same owner

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