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This disclosure is required by NYC Local Law 144 (2021) · NYC Admin. Code § 20-871(a) · DCWP Final Rules § 5-301
NYC Admin. Code §§ 20-869–20-871 · Local Law 144 of 2021

Automated Employment Decision Tool
Bias Audit Results

As required by NYC Local Law 144, TechCorp Solutions Inc. publishes the results of its annual independent bias audit for all automated employment decision tools (AEDTs) used in New York City hiring decisions.

Audit Date
January 15, 2026
Next Audit Due
January 15, 2027
Compliance Status
Compliant
Last Updated
February 16, 2026
Total Applicants (NYC)
3,470
Jan 1 – Dec 31, 2025
Overall Selection Rate
17.2%
571 selected
Categories Tested
9
Sex + Race/Ethnicity
Categories Flagged
1
Under review — see note
Notice to Applicants & Employees — DCWP Rule § 5-302
TechCorp Solutions Inc. uses an Automated Employment Decision Tool (AEDT) — AI Resume Screening System v3.2.1, developed by HireAI Technologies LLC — to assist with screening candidates for certain positions in New York City. The AEDT analyzes résumé data and application responses to produce a score that substantially assists hiring decisions. You have the right to request an alternative selection process that does not use the AEDT. To request an alternative process or to request a summary of these bias audit results, contact: hr-compliance@techcorpsolutions.com or call (212) 555-0100.
Automated Employment Decision Tool (AEDT) Identification
AEDT NameAI Resume Screening System
Version Auditedv3.2.1
AEDT VendorHireAI Technologies LLC
Decision TypeCandidate scoring and ranking to substantially assist hiring decisions for NYC-based roles
Job CategoriesSoftware Engineering, Product Management, Customer Success
Selection Rates by Sex — DCWP § 5-301(a)(3)
CategoryTotal ApplicantsSelectedSelection RateImpact Ratio4/5ths RuleResult
Male (baseline)1,84731216.89%
1.00
Baseline
Female1,62325915.96%
0.94
PASS ≥ 0.80Pass
Impact Ratio = selection rate ÷ highest group rate. 4/5ths Rule: ratio ≥ 0.80 required (EEOC UGESP). Non-binary/other category suppressed (n < 30); documented in full audit report. See Note 1 below.
Selection Rates by Race / Ethnicity — DCWP § 5-301(a)(4)
CategoryTotal ApplicantsSelectedSelection RateImpact Ratio4/5ths RuleResult
White (baseline)1,10219817.97%
1.00
Baseline
Black or African American72411816.30%
0.91
PASS ≥ 0.80Pass
Hispanic or Latino68910815.67%
0.87
PASS ≥ 0.80Pass
Asian61210316.83%
0.94
PASS ≥ 0.80Pass
Native Hawaiian / Pacific Islander871416.09%
0.90
PASS ≥ 0.80Pass
American Indian or Alaska Native641015.63%
0.87
PASS ≥ 0.80Pass
Two or More Races1922010.42%
0.58
BELOW 0.80Monitor
Categories with fewer than 5 applicants are suppressed per statistical best practices (DCWP § 5-301(a)(5)). Hispanic/Latino treated as ethnicity per EEOC/Census guidelines. Reference group is the group with the highest selection rate.
Two or More Races: Impact ratio of 0.58 is below the 4/5ths (0.80) threshold. This finding has been documented in the full audit report. TechCorp Solutions has initiated a review of the AEDT algorithm and scoring parameters for this category and is implementing quarterly monitoring. This finding does not constitute a finding of illegal discrimination. See full audit report for statistical analysis and remediation plan.
Intersectional Analysis (Sex × Race) — DCWP § 5-301(a)(6)

The following shows selection rates for sex and race/ethnicity combinations meeting the minimum reporting threshold (n ≥ 30). Combinations below threshold are analyzed separately and documented in the full audit report.

Sex × Race CombinationApplicantsSelectedSelection RateImpact RatioResult
Male × White (baseline)2072813.53%1.00Baseline
Female × White1822413.19%0.97Pass
Male × Black1221613.11%0.97Pass
Female × Black1191512.61%0.93Pass
Male × Hispanic1081412.96%0.96Pass
Female × Hispanic1101412.73%0.94Pass
Male × Asian1021514.71%1.09Pass
Female × Asian921213.04%0.96Pass
All other sex × race combinations (n < 30): analyzed with Fisher's Exact test. No statistically significant adverse impact detected. Results on file in evidence bundle.
Audit Methodology
Primary Test
4/5ths Rule (EEOC UGESP § 4D) — impact ratio must be ≥ 0.80
Statistical Tests
Chi-square (Yates' correction, n ≥ 30) · Fisher's Exact (n < 30) · Bonferroni correction · α = 0.05
Data Period
January 1, 2025 – December 31, 2025 (12 months, 3,470 records; 58 quarantined)
Analysis Engine
HAIEC Deterministic Engine v2025.1.0 — no AI used in bias determination
Data Source
Workday ATS — structured CSV export. SHA-256 verified. Not modified by auditor.
Reference Standards
EEOC UGESP 29 C.F.R. Part 1607 · DCWP Final Rules §§ 5-300–5-303 · EEOC Census category definitions
Independent Auditor — NYC Admin. Code § 20-869(b)
Auditor Information
Auditor NameDr. Sarah Chen, PhD
OrganizationHAIEC Compliance Services LLC
CredentialsPhD Statistics (Columbia University), SHRM-SCP, 12+ years employment selection testing
IndependenceConfirmed — no financial interest in employer; not employed by TechCorp Solutions or HireAI Technologies
Certification DateFebruary 16, 2026
Full ReportAvailable at techcorpsolutions.com/nyc-ll144/full-report · Or email hr-compliance@techcorpsolutions.com
Access & Contact
Your Rights Under NYC Local Law 144
If you are a job applicant or current employee at TechCorp Solutions, you have the right to:
  • Request an alternative selection process that does not use the AEDT
  • Request a summary of these bias audit results
  • Know what data the AEDT collects and uses
  • Contact DCWP to file a complaint: nyc.gov/dcwp or 311

To exercise these rights or ask questions: hr-compliance@techcorpsolutions.com · (212) 555-0100 · Mon–Fri, 9am–5pm ET

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