Humanizing ATS-Based Recruitment Using LLMs and Human-in-the-Loop Oversight
April 22nd, 2026 15 minutes read
Application Tracking Systems have evolved from simple résumé repositories into AI-driven hiring tools — but that power comes with real risks: biased training data, opaque decision criteria, and reduced human oversight. This paper proposes a human-centered approach built on three components: a job requirements validation module, a bias-trigger removal module, and a blockchain-backed dual-authorization mechanism requiring digital sign-off from qualified professionals before any vacancy goes live. Published in Systems (MDPI), 2026, co-authored with António Miguel Rosado da Cruz.