US 2023/0419345 A1 · SYSTEMS AND METHODS FOR GENERATING EXPLAINABLE PREDICTIONS

Abstract

Provided are computer-implemented systems and methods for providing explainable predictions, including receiving a prediction objective from a user; providing at least one data set from at least one data source; determining, at a processor, at least one activity from the at least one data set, the at least one activity comprising a feature of the corresponding data set; generating, at the processor, at least one attribution model from the at least one feature, the at least one attribution model operative to provide a prediction and an associated explanation; generating an explainable prediction comprising a prediction rationale based on the prediction objective received from the user and the at least one attribution model.

Claims20

Dependent claims

A computer-implemented method for providing explainable predictions, comprising:

receiving a prediction objective from a user;
providing, at a memory, at least one data set from at least one data source;
determining, at a processor in communication with the memory, at least one activity from the at least one data set, the at least one activity comprising at least one feature of the corresponding data set;
generating, at the processor, at least one attribution model from the at least one feature of the at least one activity, the at least one attribution model operative to provide a prediction and at least one prediction rationale;
and
generating, at the processor, an explainable prediction comprising the prediction and the at least one prediction rationale corresponding to the prediction, the at least one prediction rationale determined based on the prediction objective received from the user and the at least one attribution model.

3 more elements

A computer-implemented system for providing explainable predictions, comprising:

a memory, the memory storing at least one attribution model;
a network device;
a processor in communication with the memory and the network device, the processor configured to:
receive a prediction objective from a user via the network device;
receive at least one data set from at least one data source via the network device;
determine at least one activity from the at least one data set, the at least one activity comprising at least one feature of the corresponding data set;
generate at least one attribution model from the at least one feature of the at least one activity, the at least one attribution model operative to provide a prediction and at least one prediction rationale;
and
generate an explainable prediction comprising the prediction and the at least one prediction rationale based on the prediction objective received from the user and the at least one attribution model.

6 more elements

Dependencies are inferred from the claim text.

Systems and methods for generating explainable predictions

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Systems and methods for generating explainable predictions

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Abstract

Claims20