Algorithmic Hiring Under Regulatory Pressure: Fairness, Explainability, And Employer Risk In AI Talent Systems
Authors: Hari Nagakoteswar Tripurari Abstract: AI-based hiring systems promise substantial efficiency gains in candidate screening and selection, yet their rapid diffusion has occurred alongside mounting regulatory scrutiny regarding algorithmic bias, decision transparency, and employer legal accountability. This paper examines how … Read More »