Public Transparency

See behind the hiring algorithm.

An evolving public dataset on AI-driven hiring risk — aggregated from real applicant reports and analyzer scans.

Total scans
10
Community reports
0
Reports (30d)
0
High-risk scans
10
100% of total

Reports by category

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Report scams, ghost jobs, and impersonation. Your report feeds this public dataset.

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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.