The Toronto-dominion Bank

Lu Shu

Maksims Volkovs

Paige Elyse Dickie

Jesse Cole Cresswell

Yaqiao Luo

Kin Kwan Leung

Atiyeh Ashari Ghomi

Barum Rho

Caitlin Messick

Kai Wang

The disclosed embodiments include computer-implemented processes that generate adaptive textual explanations of output using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with a first temporal interval, and based on an application of a trained artificial intelligence process to the input dataset, generate output data representative of a predicted likelihood of an occurrence of an event during a second temporal interval. Further, and based on an application of a trained explainability process to the input dataset, the apparatus may generate an element of textual content that characterizes an outcome associated with the predicted likelihood of the occurrence of the event, where the element of textual content is associated with a feature value of the input dataset. The apparatus may also transmit a portion of the output data and the element of textual content to a computing system.

Generating adaptive textual explanations of output predicted by trained artificial-intelligence processes

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Mount Laurel, NJ, United States of America

Lu Shu