Demographic Impact Auditing
Extracting and analyzing historical selection rate statistics across sex, race, and ethnicity classifications.
AI Hiring Bias Audit & NYC LL144 Compliance Services
Using Automated Employment Decision Tools (AEDTs) to screen, score, or select candidates requires rigorous, independent verification. We serve as a certified third-party bias auditor to help U.S. employers calculate demographic impact ratios and publish compliant audit reports. Our service ensures your hiring algorithms, resume parsers, and video screening models are statistically audited and fully compliant with NYC LL144 and EEOC guidelines.
Audit your hiring AIIndependent Bias Audits for Hiring AI
We assist HR directors, legal counsels, and talent operations leaders who use automated decision tools. We deliver independent third-party bias audits that fulfill NYC Local Law 144 (LL144) and emerging state-level employment AI rules.
NYC LL144 & Automated Hiring Governance
We automate demographic category calculations, impact ratio reporting, candidate notification email flows, and public audit result page hostings.
Key capabilities
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Demographic Impact Auditing
Extracting and analyzing historical selection rate statistics across sex, race, and ethnicity classifications.
Impact Ratio Calculations
Applying the four-fifths rule and other statistical tests to verify potential disparate impact in scoring.
Independent Third-Party Verification
Serving as the mandatory external auditor to provide certified bias audit declarations.
Public Disclosure Management
Designing and hosting compliant, public-facing audit summary pages as required by local laws.
Candidate Notification Layouts
Setting up standard, timely notification templates for recruitment portals and application flows.
Bias Audit Scenarios
NYC LL144 Audit Compliance
Conducting the annual bias audit and publishing reports for candidates based in New York City.
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NYC LL144 Audit Compliance
Conducting the annual bias audit and publishing reports for candidates based in New York City.
Resume Parser Validation
Auditing automated parsing tools to verify they do not introduce gender or racial selection bias.
Video/Audio Interview Screening
Statistically reviewing scoring distributions across diverse applicant populations.
Common hiring audit bottlenecks
Regulatory fines
Daily penalties for using unaudited automated tools in recruitment under LL144.
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Regulatory fines
Daily penalties for using unaudited automated tools in recruitment under LL144.
EEOC liability
Implicit bias in hiring software exposing the employer to Title VII discrimination lawsuits.
Unstructured applicant data
Missing or dirty demographic logs that make impact calculations difficult.
Audit and compliance outcomes
Certified bias audit report ready for public publishing
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Certified bias audit report ready for public publishing
Mitigated legal and regulatory exposure under NYC LL144
EEOC-aligned hiring process validation documentation
Objective, quantitative visibility into recruiting algorithm metrics
Pre-configured compliance notices for applicant tracking systems
HR & ATS Integrations
Workday ATS
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Workday ATS
Greenhouse ATS
Lever ATS
SmartRecruiters
SAP SuccessFactors
AWS QuickSight
What delivery includes
Applicant dataset extraction review, statistical impact ratio calculations, independent audit report certification, public publishing support, and candidate notice templates.
Explore our full set of services on the Mobiloitte USA homepage, or see related industries.
For broader global engineering capability, explore the wider Mobiloitte platform. mobiloitte.com
Schedule a hiring bias auditRelated industries
AI Hiring Bias Audit is commonly scoped for teams in these sectors. Explore how we adapt delivery to industry constraints.
Explore related solutions
Many U.S. initiatives combine ai hiring bias audit with other capabilities. These solutions are commonly delivered together.
Why U.S. organizations choose Mobiloitte USA
AI Hiring Bias Audit projects often underdeliver. The reason is rarely the technology. It is usually the delivery process.
What makes delivery succeed
- A clear business problem definition before work begins
- Careful discovery to find integration needs
- Governance and compliance built in from day one
- Stakeholder alignment across business and technical teams
Our U.S. engagement model
Business leaders, operations teams, and technical stakeholders work directly with our delivery team.
- We invest upfront time to understand your operating environment
- We understand your regulatory context and constraints
- We finalize the implementation plan only after that understanding is complete
Built for long-term value
Every engagement is designed to last. We do not just deliver and disappear.
- We document all implementation decisions
- We train internal teams on the delivered solution
- We set up monitoring so issues are caught early
- We provide structured post-launch optimization support
Ready to scope ai hiring bias audit for your team?
Share your current workflow, systems, and goals. We will map a practical first phase with delivery steps and measurable checkpoints for your U.S. initiative.
Hiring Bias Audit Process
We serve as the certified third-party auditor to run demographic calculations and issue NYC LL144 compliance reports.
1. Define Audit Scope
Identify which Automated Employment Decision Tools (AEDTs) and job positions fall under regulations.
2. Extract Historical Data
Securely aggregate and structure recruitment and demographic logs across race and gender.
3. Calculate Impact Ratios
Apply standard statistical calculations and the four-fifths rule across applicant demographics.
4. Certify Bias Report
Prepare the official third-party audit statement highlighting impact ratios and audit outcomes.
5. Publish Public Summary
Deploy compliance-ready public web hosting showing the bias audit results.
6. Set Candidate Notices
Deliver compliant 10-day candidate notification templates for applicant portals.
AI Hiring Bias Audit FAQs
Common questions from U.S. organizations considering ai hiring bias audit as part of a broader delivery or modernization initiative.
What does AI Hiring Bias Audit usually help improve?
AI Hiring Bias Audit is typically used to reduce execution friction, improve consistency, support better user or operator experiences, and create clearer operational visibility.
Is AI Hiring Bias Audit suitable for existing systems or only new builds?
It can support both. Many engagements connect into existing tools and workflows rather than starting from a blank slate.
How do you scope a AI Hiring Bias Audit initiative?
Scoping usually looks at business goals, users, workflows, data needs, systems involved, and the fastest path to a valuable first release.
Can AI Hiring Bias Audit be launched in phases?
Yes. A phased rollout often helps teams validate assumptions, reduce delivery risk, and prioritize the highest-value use cases first.
Do you integrate AI Hiring Bias Audit with other business platforms?
Yes. Integration planning is usually part of the delivery model so the solution works with the broader operating environment.