Method for scoring confidence of an algorithmically proposed risk
US12223453B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 22, 2022 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Jul 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are system, method, and computer program product embodiments for training and deploying a machine learning model to generate an assessment of risks and mitigations in response to a novel initiative request. After generating labeled data from a corpus of prior risk assessments, a machine learning model may be trained to programmatically generate a risk assessment in response to a novel initiative request. A risk auditor may subsequently review the risk assessment generated using the machine learning model to provide various feedback reflecting the accuracy of the risks and mitigations. The machine learning model may then be retrained based on the feedback provided by the risk auditor to provide more accurate risks and mitigations in response to future initiatives.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.