MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061676 A) filed by Saveetha Engineering College on May 15, 2026, for Bias Detection Algorithm For Recruitment And Promotion Decisions.

Inventor includes Dr. Deepa Manokaran.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: ABSTRACT The present invention relates to an intelligent Bias Detection Algorithm for Recruitment and Promotion Decisions designed to identify, analyze, and mitigate bias in organizational hiring and employee advancement processes. The invention integrates artificial intelligence, machine learning, fairness analytics, and explainable decision models to improve transparency, equity, and accountability in human resource decision-making. The proposed system analyzes recruitment and promotion data, including applicant profiles, evaluation records, performance metrics, and historical advancement patterns, to detect direct and indirect discriminatory trends that may affect decision outcomes. The invention provides a unified framework for bias detection, explainability, and automated mitigation across recruitment and promotion workflows, thereby enhancing responsible Al adoption in human resource management. The proposed innovation improves upon existing systems by offering an adaptive, transparent, and scalable solution for equitable workforce decision-making. The invention includes a bias detection engine that applies fairness metrics, predictive analytics, and discrimination. bias auditing techniques to identify adverse impact and hidden A data preprocessing module removes or neutralizes sensitive proxy variables that may introduce algorithmic bias, while an explainable decision module generates interpretable outputs and fairness reports for auditing and compliance purposes. The system further incorporates real-time monitoring and corrective recommendation mechanisms to support proactive intervention and continuous fairness improvement.

Disclaimer: Curated by HT Syndication.