Categories: AI/ML News

Novel technique overcomes spurious correlations problem in AI

AI models often rely on “spurious correlations,” making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem. The work has been published on the arXiv preprint server.

New technique overcomes spurious correlations problem in AI

AI models often rely on "spurious correlations," making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem.

March 11, 2025

In "AI/ML News"

New software based on artificial intelligence helps to interpret complex data

More is not always better—sometimes, it's a problem. With highly complex data, which have many dimensions due to their numerous parameters, correlations are often no longer recognizable. Especially since experimentally obtained data are additionally disturbed and noisy due to influences that cannot be controlled.

December 21, 2022

In "AI/ML News"