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Jay Barach

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#human-computer interacti... Preprint Jul 2026

Utilizing AI-Driven Project Management Tools for Optimized Talent Management in HRM: A Framework for Enhanced Resource Allocation and Performance Prediction

A total of 40 managers participated in a simulation via user testing to ascertain if HR costs would reduce and work productivity would rise, the results were quite clear, attrition rates had dipped alongside risk and resource management rates, and TalentOptima was a clear winner.

Jay Barach · 0 citations
Review Jul 2026

AI-Increased Talent Retention Strategies: Fostering Long-Term Employee Engagement and Development in Talent Management

The integration of AI in Talent Management is a change in the way that organizations are designing their strategies for Talent Retention (TR), engagement, and future strategy. New and innovative tools such as predictive models, sentiment analysis, and personalized career planning have come up, and they offer better way...

Jay Barach · 0 citations
Review Aug 2026

Counterfactual, Per-Decision Bias Auditing for Automated Hiring: Localizing and Explaining Disparate Impact in Applicant Tracking Systems

The AI Bias Firewall (AIBF), a method that audits an applicant tracking system one decision at a time, is presented and a limitation is reported: correcting flagged decisions raises the disparate impact ratio substantially but not to legal parity, because features labeled as merit carry residual proxy correlation.

Jay Barach · 0 citations

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