MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621077230 A) filed by Gaurav on June 23, 2026, for A System And Method For Institutional Trust Collapse Prediction Using Multi-Signal Trust Erosion Scoring, Stakeholder Sentiment Drift Analysis, Escalation Risk Prediction, Explainable Reason Codes, And Preventive Trust Restoration Recommendation.
Inventors include Anuja Rajesh Jadhav; and Gaurav.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The invention relates to an AI-based institutional trust collapse prediction system configured to identify early trust erosion, stakeholder confidence decline, public grievance pressure, transparency deficit, communication breakdown, and escalation risk before institutional trust failure becomes visible. The system receives public- data-based and institution-specific indicators including grievances received, grievances disposed, disposal percentage, pending grievance age, stakeholder group, baseline trust score, current trust score, sentiment pressure, transparency deficit, communication breakdown, prior crisis sensitivity, and trust restoration action history. A public-data anchoring layer maps government grievance and service-delivery indicators into institutional trust-risk variables. A multi-signal trust erosion scoring engine computes trust erosion score, complaint pressure, resolution gap, pending-age risk, stakeholder sentiment drift, transparency deficit score, communication breakdown score, trust collapse probability, risk band, priority level, explainable reason codes, and preventive trust restoration recommendations. The invention enables public bodies, educational institutions, service organizations, welfare agencies, financial institutions, and other entities to detect trust deterioration early and initiate corrective trust restoration actions.
Disclaimer: Curated by HT Syndication.
