US Patent Issued to AT&T Intellectual Property I on Nov. 25 for "Automated machine learning model explanation generation" (California, New Jersey, Texas, New York Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,481,899, issued on Nov. 25, was assigned to AT&T Intellectual Property I LP (Atlanta).

"Automated machine learning model explanation generation" was invented by Jean-Francois Paiement (Palm Desert, Calif.), Eric Zavesky (Austin, Texas), Zhengyi Zhou (Chappaqua, N.Y.) and David Gibbon (Lincroft, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A processing system including at least one processor may obtain description information of a first machine learning model, obtain a set of interpretation criteria for the first machine learning model, and generate, via a second machine learning model, an explanation text providing an interpretation of the first ...