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Enterprise Layer Intelligence
Categories/HR & Recruiting/Warden AI
Warden AI

Warden AI

Founded by Jeffrey Pole in 2023

Audit hiring algorithms for bias and verify regulatory compliance across employment systems

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Warden AI to audit recruitment and hiring algorithms for algorithmic bias and regulatory compliance. The system tests candidate screening and selection models against real-world benchmark datasets to evaluate fair treatment across race, sex, age, and other protected groups. It maps system performance directly against employment regulations like NYC Local Law 144, the EU AI Act, and state laws in Colorado and Illinois. You receive timestamped audit trails and frozen evidence snapshots to defend hiring decisions during legal inquiries or regulatory scrutiny.

What Warden AI does

Run independent algorithmic bias audits on talent selection softwareMap automated hiring workflows to specific jurisdictional employment lawsGenerate audit trail certificates with secure timestamped recordsBenchmark recruitment algorithms against consented demographic datasetsTrack global legislative updates regarding automated hiring systemsVerify disparity ratios across race, gender, and age categoriesIndependent third-party bias auditing for hiring modelsDual-method bias detection across protected demographic classesCompliance mapping for NYC Local Law 144, EU AI Act, and state regulationsPre-market stress testing on agentic and automated candidate selection systemsContinuous monthly auditing routines with public reporting capabilitiesFrozen dataset snapshots and secure timestamped logs for legal defenseProprietary consented benchmark datasets for testing recruitment modelsPublic regulatory tracking dashboard through The Warden Watch

Pricing breakdown

Pricing model: Book a demo

View full pricing page ↗

Frequently asked

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Data Analyst @ Deloitte

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Warden AI, bias auditing, AI compliance, HR technology, AI fairness, NYC Local Law 144, EU AI Act, employment algorithms, algorithmic bias, recruitment auditing, hiring compliance, AI governance, algorithmic transparency, automated decision making, civil rights compliance