BiasAwareRecruitment
Ethical AI-Powered Recruitment System implementing FATE framework to address algorithmic bias in hiring processes
BiasAwareRecruitment is an innovative AI-powered recruitment system designed to address the critical ethical challenges of algorithmic bias in hiring processes. This project implements the FATE (Fairness, Accountability, Transparency, and Ethics) framework to ensure responsible AI deployment in recruitment.
Key Features: • AI-Powered Resume Analysis with intelligent parsing and skills assessment • Bias Detection & Mitigation using demographic parity and equal opportunity evaluation • Transparency & Explainability with decision transparency and bias report generation • Ethical Framework Implementation with FATE compliance and human-in-the-loop oversight • Real-time Bias Monitoring and comprehensive audit trails
The system is based on research examining the ethical implications of AI-based hiring tools and proposes solutions for developing transparent, accountable, and inclusive recruitment technologies. It addresses critical cases like Amazon's recruitment tool gender bias and implements comprehensive bias detection algorithms.
Research Foundation: This project is based on the research paper: "Bias in AI Recruitment Systems: An Ethical Evaluation of Algorithmic Hiring Tools" by Dipak Rajendra Chaudhari (PES University, Bangalore). DOI: 10.13140/RG.2.2.11411.80163
The system achieves fairness metrics with demographic parity difference < 0.05, equal opportunity difference < 0.05, and predictive parity > 0.95 accuracy across groups.