Advisory
Frameworks
Econ Intel provides surgical auditing and strategic mitigation for algorithmic hiring systems. We bridge the gap between automated efficiency and Canadian labor standards through evidence-based research.
Consulting Engagement Models
Select the audit depth required for your organizational maturity. From one-time bias diagnostics to long-term vendor compliance certification.
Recruitment Algorithm Audit
A comprehensive diagnostic assessment for corporations utilizing automated resume filtering or video interview ranking. We isolate variables driving disparate impact and provide a baseline fairness report aligned with Canadian equity standards.
- Disparate Impact Analysis
- Protected Group Variance Labs
- Summary Compliance Notice
Bias Mitigation Advisory
Ongoing strategic support for HR teams redesigning internal data-scoring rubrics. We move beyond diagnostics to active funnel engineering.
Vendor Compliance Certification
For tech startups building recruitment AI for the Canadian market. Product-specific audits that validate versioned software against global fairness metrics.
The Neutrality Standard
All auditing frameworks are peer-vetted for statistical validity and align with current Canadian Human Rights Commission guidelines.
Lifecycle of an
Algorithmic Audit
Phase One
Scope Assessment
Review of the hiring funnel to identify exactly where algorithms are applied. We map decision points from initial filtering to final shortlisting.
Phase Two
Data Stress Testing
Applying fairness metrics including the Four-Fifths Rule and Equalized Odds to anonymized historical applicant data to detect systemic drift.
Phase Three
Mitigation Roadmap
Strategic recommendations to adjust thresholds, re-weight variables, or implement human-in-the-loop overrides to ensure labor equity.
Engagement Comparison
Technical SpecificationsOne-Time Compliance Audit
Objective
Identify current bias risks for regulatory filing or internal HR due diligence.
Timeline
4-6 Weeks from data ingestion to final report delivery.
Deliverable
Technical Fairness Audit Report + Executive Summary.
Full-Cycle Advisory
Objective
Reshape hiring architecture through iterative testing and policy architecture.
Timeline
Retained partnership (minimum 6-month engagement).
Deliverable
Ongoing funnel monitoring + Policy Redesign Blueprints.
Adapted Fairness
for Northern Compliance.
Econ Intel does not utilize generic global fairness metrics. Our auditing engine incorporates specific adaptations of the Four-Fifths Rule, calibrated for Canadian provincial labor standards and federally regulated industries.
Statistical Grounding
We evaluate selection rates across protected groups to identify adverse impact before it matures into legal liability. Our models prioritize Group Fairness metrics that reflect the intersectional reality of the Canadian talent pool.
Expert Oversight
Every audit report is reviewed by lead researchers to ensure no statistical anomaly is misinterpreted. We provide context, not just coefficients.
