See behind the hiring algorithm.
An evolving public dataset on AI-driven hiring risk — aggregated from real applicant reports and analyzer scans.
Reports by category
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Saw something off?
Report scams, ghost jobs, and impersonation. Your report feeds this public dataset.
Knowledge base
How ATS systems work
Applicant Tracking Systems rank résumés using keyword density and predictive models. Most candidates never reach a human reviewer.
AI in hiring
From résumé scoring to one-way video interviews, machine learning shapes every step of modern hiring — often without applicant knowledge.
Ghost jobs
Postings used to build pipelines or signal growth without intent to hire. Industry estimates put ghost jobs at 18–43% of public postings.
Data harvesting
How some platforms monetize applicant data — and how to spot listings designed primarily to collect it.
AI hiring bias
Algorithmic discrimination, disparate impact, and current research on mitigation strategies.
Applicant rights & emerging laws
NYC Local Law 144, EU AI Act employment provisions, Colorado SB 205, and the patchwork shaping AI-driven hiring globally.