The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 03, 2026
Filed:
Apr. 08, 2025
Genpact Usa, Inc., New York, NY (US);
Sreekanth Menon, Bangalore, IN;
Megha Sinha, Gurgaon, IN;
Ram Sagar, Bangalore, IN;
Vernika Samadhiya, Delhi, IN;
Genpact USA, Inc., New York, NY (US);
Abstract
A method for automatic evaluation of an artificial intelligence (AI) model is presented. The method can include receiving, at a computer system comprising a processor and a memory storing instructions executable by the processor, a pretrained AI model, an input dataset, and an expected predictions dataset, wherein the expected predictions dataset comprises expected results of the pretrained AI model based on the input dataset. The method can include generating an actual predictions dataset using the pretrained AI model by providing, by the processor, the input dataset as input to the pretrained AI model and receiving, at the computer system, as output from the pretrained AI model a plurality of predictions based on the input dataset. The method can include calculating, by the processor, a plurality of algorithmic metrics based on the expected predictions dataset and the actual predictions dataset. The method can include determining, by the processor, a responsible AI (RAI) score based on the plurality of algorithmic metrics. The method can include calculating, by the processor, a RAI health score based on the RAI score and a safety fraction. The method can include comparing, by the processor, the RAI health score to a RAI health metric. The method can include determining, by the processor, an overall RAI health of the pretrained AI model based on the comparison.