Intellectual Property India Publishes Patent Application for System And Method For Explainable Artificial Intelligence Using Causal Attribution And Feature Relevance Scoring

MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611060038 A) filed by Kassem Al-Attabi; Prof. Narendra Kumar Joshi; and Arpit Jain on May 12, 2026, for System And Method For Explainable Artificial Intelligence Using Causal Attribution And Feature Relevance Scoring.

Inventors include Kassem Al-Attabi; Prof. Narendra Kumar Joshi; and Arpit Jain.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: A system and method for explainable artificial intelligence using causal attribution and feature relevance scoring is disclosed. The system comprises a feature acquisition controller configured to receive multidimensional operational data from one or more se...