Kevin T O'Rourke

US Patent:

20230004845, Jan 5, 2023

Filed:

Jun 30, 2022

Appl. No.:

17/854352

Inventors:

- New York NY, US
Winnie CHENG - West New York NJ, US
Mark John FLAVELL - Madison NJ, US
Lori Marie HALLMARK - Xenia OH, US
Nancy Alayne LIZOTTE - Saline MI, US
Kevin Ma LEONG - Randolph NJ, US
Kevin Michael O'ROURKE - New York NY, US
Robert Michael HILL - Glassboro NJ, US
Timothy DELILLE - New York NY, US
Maria Jesus Perez RAMIREZ - New York NY, US
Thomas Vincent GIACOMUCCI - Malvern PA, US

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G06N 5/04
G06N 5/02

Abstract:

Systems and methods for providing explainability for processing data through multiple layers are provided. An input layer is configured to receive an evidence data set comprising a plurality of evidence items, apply evidence processing models to the evidence data set to generate evidence understanding data, and generate input-layer explainability data, wherein the input-layer explainability data represents information about the processing of the evidence data set by the input layer. A presentation layer is configured to receive data (the evidence understanding data and/or data generated based on the evidence understanding data), apply one or more presentation generation models to the received data to generate presentation data, and generate presentation-layer explainability data for presentation to the user, wherein the presentation-layer explainability data represents information about the processing of the received data set by the presentation layer.

US Patent:

20230005075, Jan 5, 2023

Filed:

Jun 30, 2022

Appl. No.:

17/854329

Inventors:

- New York NY, US
Winnie CHENG - West New York NJ, US
Mark John FLAVELL - Madison NJ, US
Lori Marie HALLMARK - Xenia OH, US
Nancy Alayne LIZOTTE - Saline MI, US
Kevin Ma LEONG - Randolph NJ, US
Di ZHU - Jersey City NJ, US
Kevin Michael O'ROURKE - New York NY, US
Eun Kyung KWON - New York NY, US
Vandit NARULA - Monroe Township NJ, US
Weichao CHEN - Secaucus NJ, US
Maria Jesus Perez RAMIREZ - New York NY, US

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G06Q 40/00
G06V 30/412
G06V 30/416
G06N 5/04

Abstract:

Systems and methods for determining whether an electronic document constitutes vouching evidence is provided. The system may receive ERP item data and generate hypothesis data based thereon, and may receive electronic document data and extract ERP information therefrom. The system may then apply one or more models to compare the hypothesis data to the extracted ERP information to determine whether the electronic document constitutes vouching evidence for the ERP item. Systems and methods for verifying an assertion against a source document are provided. The system may receive first data indicating an unverified assertion and second data comprising a plurality of source documents. The system may apply one or more extraction models to extract a set of key data from the plurality of source documents and may apply one or more matching models to compare the first data to the set of key data to determine whether vouching criteria are met.