Framework for explainability with recourse of black-box trained classifiers and assessment of fairness and robustness of black-box trained classifiers
US11645620B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 18, 2019 |
| Grant date | May 9, 2023 |
| Priority date | — |
| Expiry date | Mar 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system and computer-readable storage medium for performing a counterfactual generation operation. The counterfactual generation operation includes: receiving a subject data point; classifying the data point via a trained classifier, the classifying providing a classified data point; identifying a counterfactual using the classified data point, the counterfactual comprising another datapoint, the another data point being close to the subject data point, the another data point resulting in production of a different outcome when provided to a model when compared to an outcome resulting from the subject data point being provided to the model; and, providing the counterfactual to a destination.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.