Engineering notes
How we build AI-generated, quality-gated hiring assessments — the architecture, the trade-offs, and the honest parts.
Page 5 of 5
July 18, 2026 · 8 min read
Hiring fraud — cheated assessments, impersonation, and AI-ghostwritten answers — poisons every downstream decision. The real cost of hiring fraud, and how to fix it.
July 18, 2026 · 9 min read
NYC Local Law 144 requires an independent bias audit before an automated hiring tool screens candidates. What the rule covers, who owns it, and what it measures.
July 18, 2026 · 9 min read
The EU AI Act classes hiring AI as high-risk, with duties on documentation, human oversight, logging and transparency. What that means for your assessments.
July 18, 2026 · 9 min read
Adverse impact and the four-fifths rule decide whether your hiring passes a bias audit. How the 80% ratio works, its failure modes, and how to monitor it.
July 18, 2026 · 9 min read
GDPR for hiring: what candidate data rules require on lawful basis, consent and minimisation, and how to honour erasure while keeping an audit trail.