Fair Isaac Corporation
LATENT-SPACE MISALIGNMENT MEASURE OF RESPONSIBLE AI FOR MACHINE LEARNING MODELS

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Abstract:

Computer-implemented machines, systems and methods for providing insights about misalignment in a latent space of a machine learning model. A method includes initializing a second weight matrix of a second artificial neural network based on a first weight matrix from a first artificial neural network. The method further includes applying transfer learning between the first artificial neural network and the second artificial neural network. The method further includes comparing the first latent space with the second latent space. The method further includes determining, responsive to the comparing, a first score indicating alignment of the first latent space and the second latent space. The method further includes determining, and responsive to the first score satisfying a threshold, an appropriateness of the machine learning model.

Status:
Application
Type:

Utility

Filling date:

14 Dec 2020

Issue date:

16 Jun 2022