Video verification systems with generative artificial intelligence

Patent metadata

Field	Value
Publication number	US-2025165571-A1
Application number	US-202318517290-A
Country	US
Kind code	A1
Filing date	Nov 22, 2023
Priority date	Nov 22, 2023
Publication date	May 22, 2025
Grant date	—

Abstract

Systems, methods, and computer program products for a video verification system with generative artificial intelligence are provided. A generative artificial intelligence model generates a dynamic set of questions based on account, identity, risk, and compliance associated with a user. The questions in the set correspond to different difficulty levels for answering the question. A question from the set is communicated to a computing device of a user over a video call with an artificial intelligence bot. In response, the video verification system receives an answer to the question, and one or more of a telemetry, an audio, and a video. The answer, telemetry, audio, and video data are assessed to determine a difficultly level of a subsequent question. The subsequent question is selected from the dynamic set of questions using the difficulty level and provided to the computing device of a user over the video call.

First claim

What is claimed is:

1 . A video verification system comprising:
a memory; and one or more hardware processors coupled to a non-transitory memory and configured to read instructions from the non-transitory memory to cause the video verification system to perform operations comprising:
generating a dynamic set of questions based on account data associated with a user, wherein questions in the dynamic set of questions correspond to different difficulty levels;
providing a question in the dynamic set of questions to the video verification system;
receiving, at the video verification system an answer to the question, and one or more of a telemetry data, an audio data, and a video data;
assessing the answer to the question, and one or more of the telemetry data, the audio data, and the video data to determine a difficultly level of a subsequent question; and
providing the subsequent question from the dynamic set of questions that corresponds to the difficultly level to the video verification system.

2 . The video verification system of claim 1 , wherein the operations further comprise:
generating, using a visual artificial intelligence bot of the video verification system, a segment in a dialogue, wherein the segment in the dialogue incorporates the question; communicating, using the visual artificial intelligence bot, the segment in the dialogue to the user during a video call.

3 . The video verification system of claim 2 , wherein the operations further comprise:
collecting one or more of the telemetry data, the audio data, and the video data during a predefined time interval after communicating the segment in the dialogue incorporating the question to the user.

4 . The video verification system of claim 2 , wherein the operations further comprise:
collecting one or more of the telemetry data, the audio data, and the video data during a predefined time interval before and after the communicating the segment in the dialogue incorporating the question to the user.

5 . The video verification system of claim 1 , wherein the operations further comprise:
determining the dynamic set of questions does not include the subsequent question corresponding to the difficulty level; and generating the subsequent question with the determined difficulty level during a video call with an artificial intelligence bot.

6 . The video verification system of claim 1 , wherein the operations further comprise:
determining that the answer to the question is a correct answer; determining a sentiment of the user using the one or more of the audio data, the video data, and the telemetry data during a video call with an artificial intelligence bot; and determining the difficultly level of the subsequent question based on the correct answer and the sentiment.

7 . The video verification system of claim 6 , wherein the sentiment of the user corresponds to a score, and to determine the difficulty level of the subsequent question, the operations further comprise:
mapping the score to the difficulty level of the subsequent question.

8 . The video verification system of claim 1 , wherein the data associated with the user corresponds to account data of the user collected during a predefined time period.

9 . A method comprising:
collecting a segment of a dialogue between a user and an artificial intelligence bot and telemetry data, wherein the segment of the dialogue comprises one or more of a video data and an audio data; determining a sentiment associated with the segment of the dialogue using the one or more of the video data, the audio data, and the telemetry data; determining a score associated with the sentiment, wherein the score corresponds to a difficulty level of a question; determining the question using the difficulty level and data of the user; and providing the question to the artificial intelligence bot, wherein the artificial intelligence bot incorporates the question into a second segment of the dialogue that the artificial intelligence bot communicates to the user.

10 . The method of claim 9 , further comprising:
conducting the dialogue between the user and the artificial intelligence bot over a visual interface and as part of a verification process that verifies the user to a computing system that stores confidential information associated with the user.

11 . The method of claim 9 , wherein the telemetry data comprises data associated with a computing device that receives a user communication of the segment of the dialogue, the telemetry data including a location of the computing device; and
wherein determining the sentiment is based on the user communication and the location of the computing device.

12 . The method of claim 9 , wherein determining the question is based on a user account information associated with the user participating in the dialogue with the artificial intelligence bot.

13 . The method of claim 9 , further comprising:
receiving a third segment of the dialogue between the user and the artificial intelligence bot and a second telemetry data, the third segment of the dialogue comprising one or more of a second video data and a second audio data; determining an answer to the question from the audio data; determining a second sentiment of the user associated with the third segment of the dialogue based on one or more of the second audio data, the second video data and the second telemetry data; determining to increase or decrease the difficulty level using the answer and the second sentiment; and generating a second question based on the increased or decreased difficultly level.

14 . The method of claim 9 , wherein the video data is collected during a video call between the user and the artificial intelligence bot.

15 . The method of claim 14 , further comprising:
communicating the question to the user in the dialogue during the video call.

16 . A non-transitory computer readable medium having instructions stored thereon, that when executed by a processor cause the processor to perform operations, the operations comprising:
collecting a communication between a user and an artificial intelligence bot, wherein the communication comprises one or more of a video data, an audio data, and a telemetry data; determining a sentiment associated with the communication using the one or more of the video data, the audio data, and the telemetry data; determining a score associated with the sentiment; determining a plurality of questions, each question associated with a difficulty level corresponding to a range associated with the score, the plurality of questions based on a user data associated with the user; selecting a question from the plurality of questions using the score; and providing the question to the artificial intelligence bot, wherein the artificial intelligence bot incorporates the question into a dialogue between the artificial intelligence bot and the user.

17 . The non-transitory computer readable medium of claim 16 , further comprising:
receiving an audio data over a real-time video call between the artificial intelligence bot and the user, wherein the audio data includes an answer and other audio data; determining a second sentiment using the answer and the other audio data associated with the real-time video call; selecting a second question from the plurality of questions, wherein a difficulty level of the second question corresponds to the second sentiment; and communicating the second question in the dialogue over the real-time video call.

18 . The non-transit

Assignees

• Paypal Inc

Inventors

• Eltahan Amir
• Ho Chun Kiat
• Aleles Michael John

Classifications

• G06F21/32 Primary

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title