20250173562. System Method (AUTOBRAINS TECHNOLOGIES .)

SYSTEM AND METHOD OF CREATING INTERPRETABLE LATENT REPRESENTATIONS OF AN ARTIFICIAL INTELLIGENCE MODEL

Abstract: a method of training a neural network model based on a latent representation including a human-interpretable data representation necessary for performing a specified task. the method includes obtaining an input data, training the neural network model based on the obtained input data; fixing a gauge function by applying an auxiliary loss function on a latent activation for the specified task, during the training of the neural network model to minimize redundancy, and producing a human-interpretable representation of the latent representation of the neural network model, based on the application of the auxiliary loss function on the latent application.

Inventor(s): Julius Engelsöy, Armin Biess, Isaac Misri, Joey Hendry

CPC Classification: G06N3/08 (Learning methods)

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