Invention Grant
- Patent Title: Generation of counterfactual explanations using artificial intelligence and machine learning techniques
-
Application No.: US16949365Application Date: 2020-10-27
-
Publication No.: US12254388B2Publication Date: 2025-03-18
- Inventor: Rory McGrath , Luca Costabello , Nicholas McCarthy
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Polsinelli PC
- Main IPC: G06N20/10
- IPC: G06N20/10 ; G06F16/23 ; G06N5/045

Abstract:
In some implementations, a system may determine, based on a qualification model, a prediction output of an analysis of user information. The system may determine, based on a generator model, a plurality of counterfactual explanations associated with the prediction output and the user information. The system may cluster, according to a clustering model, the plurality of counterfactual explanations into clusters of counterfactual explanations. The system may select, based on a classification model, a counterfactual explanation from a cluster of the clusters of counterfactual explanations. The system may provide a request for feedback associated with the counterfactual explanation. The system may receive feedback data associated with the request for feedback. The system may update a data structure associated with the clustering model based on the feedback data and the counterfactual explanation to form an updated data structure. The system may perform an action associated with the updated data structure.
Public/Granted literature
- US20220129794A1 GENERATION OF COUNTERFACTUAL EXPLANATIONS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES Public/Granted day:2022-04-28
Information query