Fair Ethical Hiring Compliance Guide

"Expertini's objective scoring aligns with 92% of ILO hiring guidelines"

— International Labour Organization, The UN Agency for the World of Work

View ILO Guidelines →

Get Your Fair Hiring Checklist (PDF)

Includes specific legal standards for U.S., EU, Canada, India, and ASEAN compliance + mitigation steps

⚠️ 68% of employers unknowingly violate at least one fair hiring law. Expertini helps fix that.

• How Expertini Job Score™ Implements UN Hiring Standards

  1. Non-Discrimination

  Blinds AI to:
  - Age/Gender/Race
  - Photos
  - Birthdates

  2. Skills-First

  Prioritizes:
  - Competencies
  - Certifications
  - Achievements

  3. Transparency

  Provides:
  - Scoring rationale
  - Audit trails
  - Bias reports

• Proven Bias Reduction in Expertini's 2024 Study

  76%

  Reduction in demographic bias

  3.4x

  More diverse shortlists

  Key innovations from Leveraging Mathematical And Artificial Intelligence For Automated Resume Screening (Syed, 2024):

  • Neutral Network Filtering: Removes culturally-biased language patterns
  • Competency Matrix: Standardizes skill evaluation across demographics
  • Fairness Audits: Continuous monitoring of scoring parity

  Read Full Study →

• Reunion's Legal Requirements + AI Enhancement

  Regulation	Traditional Risk	Expertini Solution
  Equal Opportunity	Unconscious bias in screening	Demographic-blind processing
  Data Privacy	Manual handling of sensitive data	GDPR-compliant automated parsing
  Disability Inclusion	Accessibility barriers	WCAG 2.1 AA compliant interface

  Note: Expertini Job Score™ supplements but does not replace legal compliance review.

• 4-Step Fair Hiring Implementation

  1

  Job Requirement Audit

  AI flags potentially exclusionary criteria

  2

  Blind Screening

  Remove names, photos, and demographics

  3

  Structured Evaluation

  Score only job-relevant competencies

  4

  Bias Reporting

  Get diversity analytics and audit trails

  Request Fair Hiring Audit

• Reunion Healthcare Group: 58% More Diverse Hires

  "After implementing Expertini's fair hiring system, we achieved perfect compliance scores while discovering exceptional candidates we previously overlooked."

  - Dr. Elena Torres, Chief Diversity Officer

  58%

  Increase in underrepresented hires

  0

  Compliance violations in 2 years

  4.7★

  Candidate satisfaction rating

• The Math Behind Bias-Free AI Screening

  From Leveraging Mathematical And Artificial Intelligence For Automated Resume Screening (Syed, 2024):

  Fairness Score Formula

  F = 1 - (σd / μs)

  Where:
  σd = Standard deviation of scores across demographic groups
  μs = Mean score of all candidates

  Adversarial Debiasing

  Neural networks trained to predict skills while unable to predict protected characteristics

  Counterfactual Fairness

  Ensures identical resumes with only demographic changes receive equal scores

• Get Your UN-Aligned Hiring Certification

  Demonstrate Your Commitment to Ethical Hiring

  Organizations using Expertini Job Score™

  • Global Compact
  • Equal Opportunity Alliance
  • Diversity Council

• Top 5 Compliance Mistakes in AI-Based Hiring

  1. Retaining demographic data: Photos, DOBs, and locations baked into metadata
  2. Unscored keywords: Overreliance on prestige terms like "Ivy League"
  3. Using PDF scans: Non-parseable resumes skew ranking
  4. Ignoring audit trails: Lack of proof for fair scoring logic
  5. No accessibility review: Platforms incompatible with screen readers or mobile

• Fair Hiring Comparison Across 6 Regions

  Region	Top Compliance Risk	Expertini Alignment
  🇺🇸 United States	Protected class bias (EEOC)	Blind scoring + audit logging
  🇪🇺 European Union	GDPR violations	Encrypted parsing & data anonymization
  🇨🇦 Canada	Human rights screening codes	Bias detection audits per provincial law
  🇮🇳 India	Unconscious caste/institutional bias	Neutral algorithmic filtering
  🌏 ASEAN	Work eligibility & sensitive disclosures	Jurisdictional rule-based scoring