NYC LL144 80% rule testing, demographic parity analysis, and EU AI Act fairness assessment
Algorithmic discrimination is the #1 enforcement priority for regulators globally
Comprehensive fairness assessment using proven DPT Playbook methodology
DPT Playbook methodology vs generic fairness tools
| Capability | Generic Fairness Tools | TrustRail (DPT Playbook) |
|---|---|---|
| NYC LL144 Testing |
❌ Generic fairness metrics Not specific to NYC LL144 requirements |
✓ NYC LL144 20-871 exact compliance 80% rule, impact ratios, notice requirements |
| Data Collection |
❌ Upload your dataset No guidance on what data needed |
✓ DPT Playbook guided assessment Professional methodology shows exact data requirements |
| Protected Classes |
❌ You define categories Risk of non-compliant definitions |
✓ NYC LL144 + EU AI Act definitions Legally compliant categorizations |
| Statistical Methods |
❌ Black box algorithms Can't explain to regulators |
✓ Transparent statistical tests Chi-square, Fisher's exact, documented |
| Bias Mitigation |
❌ "Bias detected" alerts No actionable remediation plan |
✓ Structured mitigation playbook DPT Playbook: Professional remediation strategies |
| Regulatory Reports |
❌ Export metrics to CSV You format for compliance |
✓ NYC LL144 + EU AI Act ready Accepted by regulators from day 1 |
| Training Data Analysis |
❌ Model outputs only Misses data source bias |
✓ Full data provenance tracking Source bias, collection bias, labeling bias |
| Expert Support |
❌ Online documentation DIY statistical analysis |
✓ Professional services available We conduct your first bias audit |
| Time to Compliance |
❌ 3-6 months (DIY) Figure out requirements yourself |
✓ 4-6 weeks (guided) DPT Playbook accelerates completion |
Data Provenance Tracking (DPT) Playbook provides comprehensive coverage from data collection through bias mitigation.
Built for NYC LL144 and EU AI Act compliance, not generic "fairness." Every metric maps to specific legal requirement.
Professional services team conducts your first bias audit with you. Transfer knowledge to your team.
DPT Playbook guides you through comprehensive bias testing and fairness assessment
Our proprietary DPT Playbook guides you through comprehensive bias testing and fairness assessment:
Define AI system scope, NYC LL144 applicability, and testing approach aligned with regulatory requirements
Gather test data, identify protected attributes, and establish demographic baselines for statistical testing
Execute NYC LL144 80% rule calculations, demographic parity analysis, and statistical significance testing
Identify root causes and develop structured remediation strategies for any bias detected
Generate NYC LL144 compliant bias audit reports and EU AI Act fairness documentation
Our DPT Playbook provides comprehensive guidance for NYC LL144 and EU AI Act compliant bias testing:
Professional methodology ensures exact compliance with 20-871 bias audit requirements including 80% rule calculation and protected class definitions
Documented statistical testing approach with significance calculations and confidence intervals
Structured approach to identifying bias root causes and developing actionable remediation strategies
💡 Every step mapped to NYC LL144 and EU AI Act specific requirements for regulatory acceptance
Bias testing addresses the most critical fairness requirements
Data Provenance Tracking Playbook - Comprehensive bias testing methodology
Built specifically for 20-871 bias audit requirements
Article 10 training data bias assessment covered
Chi-square, Fisher's exact, significance testing documented
Incorporates latest regulatory guidance and case law
20-871 compliant report including:
Article 10 documentation showing:
Remediation strategy including:
NYC LL144 annual audit or one-time EU AI Act assessment
Self-service access to DPT Playbook
Expert-led bias audit + platform access
NYC LL144 annual audit program
NYC LL144 compliant bias audit in 4-6 weeks with expert guidance
Free consultation • NYC LL144 & EU AI Act compliant • 2-3 week typical timeline