MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202611072368 A) filed by Pragya Tewari; Dr. Lakshman Ji; Krishna Mula; Dr. Prabhjot Kaur Sidhu; Ms. Jyoti; Mr. Surender Singh; Dr. Anupama Kaushik; Dr Lalit Kumar Agarwal; Ms. Pooja Sharma; and Dr. Mani Kansal on June 11, 2026, for System And Method For Explainable Artificial Intelligence-Based Decision Support And Predictive Analytics.
Inventors include Pragya Tewari; Dr. Lakshman Ji; Krishna Mula; Dr. Prabhjot Kaur Sidhu; Ms. Jyoti; Mr. Surender Singh; Dr. Anupama Kaushik; Dr Lalit Kumar Agarwal; Ms. Pooja Sharma; and Dr. Mani Kansal.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: This disclosure describes a system and method of decision support and predictive analytics using explainable artificial intelligence. The system receives multimodal data from various sources and does data harmonization for forming a unified context. An adaptive contextual knowledge graph engine is used to form relationships between entities, events, and variables for predictive processing. A predictive analytics engine is used for forecasting, classification, recommendation, and risk assessment, whereas a causal evidence reconstruction engine is used for identifying causality chains and root causes of the generated results. A predictive reliability quantification engine evaluates reliability metrics on the basis of data quality, context stability, model certainty, and historical consistency. The system further includes modules for detecting drifts, simulating counterfactual scenarios, localizing predictive uncertainty, generating explainability certificates, and managing secure auditing.
Disclaimer: Curated by HT Syndication.
