EthiCompass

AI Compliance & Audit for HR & Recruitment

Your Hiring AI Is Making Decisions About People.
Prove Those Decisions Are Fair.

Employment AI faces the most explicit regulation of any sector — the EU AI Act classifies recruitment and workforce AI as high-risk, bans emotion recognition in the workplace outright, and US cities and states are enforcing bias audit requirements now. EthiCompass evaluates every hiring, performance, and workforce AI system across 7 scientifically validated dimensions, producing the defensible evidence your regulators, your candidates, and your board require.

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The Most Regulated AI Use Case
on Earth.

No sector has more explicit AI legislation than employment. Every major jurisdiction has passed or is enforcing laws that specifically target hiring, promotion, performance evaluation, and workforce management AI.

European Union

EU AI Act — High-Risk + Prohibited Practices

Recruitment AI classified as high-risk under Annex III Section 4. Emotion recognition in the workplace banned outright as a prohibited practice since February 2025. Conformity assessments, fundamental rights impact assessments, and human oversight requirements apply to every hiring, promotion, and workforce management AI system.

Deadline: 2 August 2026. Prohibited practice penalty: Up to 7% of global turnover.

United States

EEOC + NYC LL144 + Illinois + Colorado + Multi-State

NYC Local Law 144 bias audits enforced since July 2023. Illinois HB 3773 bans proxy variables and requires AI hiring transparency effective January 2026. Colorado AI Act takes effect mid-2026. EEOC secured first AI hiring discrimination settlement ($365K). Federal courts expanding vendor liability.

Active class actions: Workday processed 1.1 billion applications.

Latin America

Brazil Bill 2338 + CLT + LGPD

Recruitment AI classified as high-risk under Brazil's AI regulation bill. Workers have the right to explanation for automated decisions affecting employment. CLT labor framework creates additional protections. Triple enforcement exposure from ANPD, labor courts, and consumer protection authorities.

Penalty: Up to R$50 million or 2% of Brazilian revenue.

The Enforcement Actions and Evidence
That Changed Everything

These are not hypothetical risks. These are settled cases, active lawsuits, and peer-reviewed research demonstrating that employment AI carries systemic bias — and regulators are acting on the evidence.

EEOC ENFORCEMENT

iTutorGroup — $365,000 Settlement

First EEOC AI hiring discrimination case. AI automatically rejected 200+ qualified applicants because women were 55+ and men were 60+.

Dimension: Discrimination & Fairness

VENDOR LIABILITY

Workday — 1.1 Billion Applications

Landmark class action — AI vendors liable as 'agents' for discrimination. Court certified nationwide collective age 40+.

Dimension: Regulatory Compliance

PEER-REVIEWED RESEARCH

85% White-Name Preference in AI Resume Screening

University of Washington (2024): three models tested on 554 real resumes. White-associated names preferred 85.1%. Black-associated names 8.6%.

Dimension: Discrimination & Fairness

BIOMETRIC AI

Video Interview AI Discrimination

HireVue shown to perform worse for deaf/non-white applicants. CVS settled class action alleging illegal lie detector via facial expression tracking. EU banned workplace emotion recognition since Feb 2025.

Dimension: Robustness & Resilience

7 Dimensions. Scientifically Validated.
Built for Employment AI.

Our evaluation framework was developed by PhD researchers in AI ethics, bias detection, and regulatory compliance, and validated through peer-reviewed publications. Each dimension maps to specific regulatory requirements across EU, US, and Latin American employment frameworks.

01

Discrimination & Fairness

Measures Demographic Parity Ratio across resume screening, interview scoring, promotion decisions, and compensation algorithms. Detects proxy variables (ZIP code, name, university) that correlate with protected characteristics.

EU AI Act Art 10, EEOC four-fifths rule, NYC LL144, Illinois proxy ban

02

Toxicity & Harmful Language

Flags biased or exclusionary language in AI-generated job descriptions, candidate communications, rejection notices, and performance reviews.

EU AI Act Art 13, ADA, Brazil 2338

03

Explainability & Transparency

Ensures every AI-driven hiring decision includes traceable reasoning — which factors contributed, what weights applied, why one candidate was selected.

EU AI Act Art 13, NYC LL144 notification, Brazil 2338 explanation rights

04

Privacy & Data Protection

Detects PII exposure in recruitment pipelines, enforces data minimization, verifies biometric data is processed lawfully — or not at all (EU emotion ban).

GDPR + AI Act Art 5, Illinois BIPA, LGPD

05

Factuality & Accuracy

Identifies AI-generated assessments with hallucinated qualifications, incorrect background info, or inaccurate skill evaluations.

FCRA accuracy, EU AI Act Art 15, EEOC standards

06

Robustness & Resilience

Tests hiring AI stability across diverse candidate populations, name formats, educational backgrounds, and language patterns.

EU AI Act Art 15, Colorado reasonable care, EEOC adverse impact

07

Regulatory Compliance

Maps AI behavior to all applicable employment regulations — producing multi-jurisdictional compliance evidence.

All frameworks: integrated mapping

Where Employment AI
Compliance Risk Lives

Organizations deploy AI across the entire employee lifecycle. Each stage creates distinct compliance obligations across multiple jurisdictions.

Resume Screening & Candidate Selection

The most litigated AI use case in employment. Resume screening AI is the primary target of EEOC enforcement, class action litigation, and peer-reviewed bias research — with documented evidence of systematic discrimination across race, age, gender, and disability.

Compliance requirements

  • EU: High-risk classification under Annex III Section 4 — full conformity assessment, FRIA, and Article 14 human oversight required
  • US: EEOC four-fifths rule testing, NYC LL144 annual bias audit and candidate notification, Illinois proxy variable ban effective Jan 2026
  • Brazil: Bill 2338 high-risk classification, LGPD right to explanation for automated screening decisions, CLT worker protection

What EthiCompass evaluates

EthiCompass evaluates resume screening AI for demographic parity across all protected groups, tests for proxy discrimination in scoring factors, and produces the immutable audit trail required by both EU and US regulators.

Video Interview & Assessment AI

The intersection of biometric AI and employment law creates unique compliance exposure. The EU banned emotion recognition in the workplace outright since February 2025, while Illinois BIPA requires explicit consent for any biometric data collection during interviews.

Compliance requirements

  • EU: AI Act Art 5 — emotion recognition in the workplace is a prohibited practice since Feb 2025. Penalty: up to 7% of global turnover
  • US: Illinois BIPA consent requirements, HireVue class actions, CVS facial recognition settlement, ADA accommodation obligations
  • Brazil: LGPD biometric data as sensitive data, Bill 2338 transparency requirements for automated assessment

What EthiCompass evaluates

EthiCompass detects whether assessment AI uses prohibited emotion recognition, tests for demographic performance disparities, and verifies biometric data processing compliance across all jurisdictions.

Employee Performance Management

AI systems that evaluate employee performance, recommend promotions, or flag termination candidates directly affect worker livelihoods. These systems carry the same fairness obligations as hiring AI — with the additional complexity of ongoing employment relationships and union requirements.

Compliance requirements

  • EU: High-risk classification under AI Act Annex III, works council consultation requirements, GDPR employee monitoring limits
  • US: EEOC disparate impact testing for promotion and termination decisions, Title VII protected class analysis
  • Brazil: CLT worker protection framework, LGPD employee data processing consent, union notification requirements

What EthiCompass evaluates

EthiCompass evaluates performance AI for rating parity across protected groups, tests promotion recommendation fairness, and documents compliance with employee monitoring regulations.

Workforce Analytics & Employee Monitoring

AI-driven task allocation, productivity monitoring, and workforce optimization systems are explicitly classified as high-risk under the EU AI Act. These systems generate continuous compliance obligations because they process employee data in real time.

Compliance requirements

  • EU: AI Act Annex III high-risk for task allocation and monitoring, GDPR lawful basis for employee surveillance, works council rights
  • US: State employee monitoring disclosure laws, ECPA workplace surveillance limits, emerging state AI transparency requirements
  • Brazil: CLT limits on employee monitoring intensity, LGPD proportionality requirements, ANPD enforcement guidance

What EthiCompass evaluates

EthiCompass monitors workforce analytics AI for fairness in task allocation, tests productivity scoring for demographic bias, and verifies employee monitoring systems meet proportionality requirements.

Compensation & Pay Equity AI

AI systems that recommend compensation, analyze pay equity, or adjust salaries face an expanding regulatory landscape — including the EU Pay Transparency Directive effective June 2026, which requires employers to demonstrate equal pay through objective, gender-neutral criteria.

Compliance requirements

  • EU: Pay Transparency Directive (June 2026) — employers must provide pay gap data and demonstrate gender-neutral pay criteria. AI Act high-risk classification
  • US: Equal Pay Act, state pay transparency laws, EEOC compensation discrimination enforcement
  • Brazil: CLT equal pay requirements, LGPD consent for salary data processing, Bill 2338 automated decision transparency

What EthiCompass evaluates

EthiCompass evaluates compensation AI for pay equity across protected groups, tests for proxy variables that correlate with gender or race, and produces the pay gap analysis evidence required by the EU Pay Transparency Directive.

Peer-Reviewed Methodology

Built on Research. Validated by Publication.
Defensible in Court.

Employment regulators don't accept vendor claims at face value. When the EEOC, a state attorney general, or a class action plaintiff's expert asks how your AI compliance framework was validated, they expect a defensible methodology — not a marketing deck. EthiCompass's 7-dimension framework was developed by PhD researchers in AI ethics, bias detection, and regulatory compliance, and validated through peer-reviewed publications.

Each dimension is operationalized through 39+ quantitative metrics designed to withstand EEOC four-fifths rule scrutiny and class action discovery. Fairness testing uses Demographic Parity Ratio targets of 0.8–1.25, Bias Direction Index analysis, proxy variable detection, and four-fifths rule testing — aligned with the statistical thresholds that employment regulators and courts recognize.

This matters because NYC LL144 audits, EEOC investigations, Illinois enforcement actions, EU AI Act conformity assessments, and class action discovery all demand one thing: show your work. EthiCompass produces evidence that survives the scrutiny of regulators, expert witnesses, and opposing counsel.

Explore the 7-Dimension Framework →

Two Ways to Start.
One Standard of Evidence.

OneCheck

Your Employment AI Compliance Baseline

Know where you stand before your next EEOC inquiry or the August 2026 EU AI Act deadline.

  • Every hiring and workforce AI system scored across all 7 dimensions
  • EU AI Act + NYC LL144 + EEOC gap analysis in a single report
  • FRIA-ready evidence for high-risk employment AI systems
  • Four-fifths rule compliance testing with demographic parity analysis
  • Audit-ready documentation for CHROs, legal teams, and regulators

Best for: CHROs and talent acquisition leaders who need to understand their compliance posture before the August 2026 EU AI Act deadline and escalating EEOC enforcement.

Enterprise

Full Platform

Continuous Employment AI Compliance

Ongoing monitoring across recruitment, performance, and workforce AI — aligned with NYC LL144 annual audit cycles and EU AI Act continuous obligations.

  • Everything in OneCheck, plus:
  • Continuous real-time monitoring across all hiring and workforce AI
  • Real-time alerting when fairness scores drift below thresholds
  • Multi-regulation mapping: AI Act + LL144 + EEOC + BIPA + LGPD
  • Immutable audit trail with 7+ year retention for litigation defense
  • Board-ready dashboards for HR, legal, and compliance committees
  • NYC LL144 annual audit automation with publication-ready summaries

Best for: Organizations deploying AI across the full employee lifecycle that need continuous compliance assurance across EU, US, and Latin American employment regulations.

One Platform. Every Employment AI Regulation.
Audit-Ready Evidence.

Employment AI compliance is fragmented across dozens of jurisdictions. EthiCompass maps your compliance across all of them simultaneously.

Framework

EU AI Act Annex III Section 4

Jurisdiction

European Union

Coverage

Full high-risk conformity assessment for employment AI, FRIA support, Articles 9–15 mapping

Framework

EU AI Act Art 5 — Emotion Ban

Jurisdiction

European Union

Coverage

Prohibited practice detection for workplace emotion recognition systems

Framework

EU Pay Transparency Directive

Jurisdiction

European Union

Coverage

Pay gap analysis, gender-neutral criteria validation, compensation AI fairness testing

Framework

GDPR Employee Data

Jurisdiction

European Union

Coverage

Employee data processing compliance, biometric data safeguards, monitoring proportionality

Framework

NYC Local Law 144

Jurisdiction

New York City

Coverage

Annual bias audit compliance, candidate notification documentation, summary publication

Framework

Illinois HB 3773 + BIPA

Jurisdiction

Illinois

Coverage

AI hiring proxy variable ban compliance, biometric consent verification, video interview AI audit

Framework

Colorado AI Act

Jurisdiction

Colorado

Coverage

Algorithmic impact assessment, disparate impact testing, reasonable care documentation

Framework

EEOC Title VII / ADEA / ADA

Jurisdiction

United States (federal)

Coverage

Four-fifths rule testing, adverse impact analysis, reasonable accommodation compliance

Framework

FCRA

Jurisdiction

United States (federal)

Coverage

Background check AI accuracy, adverse action notice compliance, consumer dispute rights

Framework

Brazil Bill 2338

Jurisdiction

Brazil

Coverage

High-risk AI classification compliance, impact assessment support, transparency requirements

Framework

LGPD

Jurisdiction

Brazil

Coverage

Sensitive data processing compliance, automated decision transparency, employee consent management

Framework

CLT

Jurisdiction

Brazil

Coverage

Worker protection framework compliance, equal pay validation, monitoring intensity limits

The Cost of Non-Compliance.
The Value of Proof.

Risk

EU emotion ban violation

Exposure

Up to 7% of global turnover

With EthiCompass

Prohibited practice detection and elimination evidence

Risk

EU AI Act high-risk non-compliance

Exposure

€35M or 3% of global turnover

With EthiCompass

Full conformity assessment with FRIA documentation

Risk

NYC LL144 violation

Exposure

$500–$1,500 per candidate per violation

With EthiCompass

Annual bias audit with publication-ready summary

Risk

EEOC enforcement action

Exposure

$365K+ (iTutorGroup) + Workday class

With EthiCompass

Four-fifths rule testing with adverse impact documentation

Risk

Illinois BIPA violation

Exposure

Statutory damages per biometric collection

With EthiCompass

Biometric consent verification and processing audit

Risk

Colorado AI Act violation

Exposure

AG enforcement + private right of action

With EthiCompass

Algorithmic impact assessment with reasonable care evidence

Risk

Brazil LGPD violation

Exposure

R$50M or 2% of Brazilian revenue

With EthiCompass

Sensitive data compliance with automated decision transparency

Risk

Class action litigation

Exposure

$10M–$100M+ per action

With EthiCompass

Documented fairness testing as discovery-ready litigation defense

Every AI Hiring Decision Is a Compliance Event.
Every Compliance Event Needs Evidence.

Employment AI compliance is not a future problem. NYC Local Law 144 has been enforced since July 2023. The EU banned workplace emotion recognition in February 2025. Illinois HB 3773 takes effect January 2026. The EU AI Act high-risk deadline is August 2026. The EEOC has already settled its first AI hiring case. Workday faces a nationwide class action covering 1.1 billion applications.

The window for voluntary compliance — the window where getting ahead of enforcement is an advantage rather than a minimum requirement — is closing. Every resume screened, every interview scored, every performance review generated, every compensation recommendation made by AI creates a regulatory event that demands defensible evidence.