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New York City skyline with a NYC Local Law 144 governance diagram connecting AEDT identification, independent bias audit evidence, transparency, candidate notices, controls and monitoring.

Regulatory framework

NYC Local Law 144.

Govern Employment AI.
Prove Fairness. Build the Evidence.

CognitiveView helps employers and employment agencies identify Automated Employment Decision Tools (AEDTs), manage Local Law 144 requirements, coordinate bias audit evidence, document transparency and continuously govern AI used in employment decisions.

Assess Your AEDTTalk to an Expert
  • Understand your AEDTs

    Identify AI tools and determine applicability

  • Build evidence

    Connect audit evidence, controls and notices

  • Stay compliant

    Monitor AI changes and reassess compliance

Key dates for NYC Local Law 144

Plan yourCompliance milestones.

Track the key audit, disclosure and notice requirements across your employment AI lifecycle.

  1. Jul 5, 2023

    Enforcement of Local Law 144 began.

  2. Before use

    Complete the bias audit, publish its summary and provide required notice.

  3. Within one year

    Keep the independent bias audit current for continued AEDT use.

  4. Ongoing

    Maintain transparency, notices, evidence and monitoring.

Employers & employment agencies

Applies to covered AEDTs used for NYC candidates or employees.

View official guidance (opens in a new tab)

Required candidate and employee notice must be provided at least 10 business days before use.

Understand the framework

What is NYCLocal Law 144?

Bring bias audit evidence, transparency and candidate notices together across your employment AI estate.

Fairness, transparency and accountability

NYC Local Law 144 establishes requirements for certain Automated Employment Decision Tools used by employers and employment agencies. CognitiveView connects your audit, notice and disclosure work with ongoing employment AI governance.

  • Coordinate an independent bias audit
  • Make the required audit summary publicly available
  • Provide required notices to candidates and employees
  • Document applicable data and disclosure information
  • Keep audit evidence current for continued AEDT use
  • Maintain controls, ownership and ongoing monitoring

Before a covered AEDT is used

The tool needs a bias audit within one year of use, a publicly available audit summary, and the required employee or candidate notices.

Connect these requirements with accountable owners, documented evidence and a repeatable governance process.

NYC DCWP guidance (opens in a new tab)
  • AEDTs

    Covered employment decision tools

  • Employers

    Including employment agencies

  • NYC

    Candidates and employees

End-to-end AEDT compliance

Operationalize your Local Law 144 governance with CognitiveView.

  1. Discover & classify

    Identify AI systems and determine AEDT applicability.

  2. Bias audit management

    Coordinate independent audit evidence and ownership.

  3. Transparency & disclosure

    Manage public audit summaries and disclosures.

  4. Candidate & employee notice

    Deliver required notices and track supporting evidence.

  5. Continuous monitoring

    Track changes, reassess and maintain compliance.

Determine applicability

Is your AI systemAn AEDT?

Follow a structured workflow to understand how your employment AI is used and assess its scope.

  1. STEP 01

    AI system

    Identify the tool, its outputs and the intended use case.

  2. STEP 02

    Employment decision

    Does it assess or screen candidates for hiring or promotion?

  3. STEP 03

    AI technology

    Review its use of machine learning, statistical modelling, data analytics or AI.

  4. STEP 04

    Substantially assists

    Does it substantially assist or replace discretionary decision-making?

  5. STEP 05

    Determine scope

    Confirm the NYC connection and assess coverage under Local Law 144.

Review official AEDT definitions (PDF, opens in a new tab)Start Applicability Assessment

Compliance readiness, connected

NYC Local Law 144Control center.

See audit readiness, notices and evidence across your employment AI estate in one connected view.

Employment AI readiness overview

Illustrative dashboard · Sample data

Overall readiness

82%
  • AEDT inventory

    88%
  • Bias audit management

    76%
  • Transparency & disclosure

    84%
  • Candidate / employee notice

    91%
  • Data governance

    73%
  • Evidence & documentation

    69%
  • Monitoring & reassessment

    78%
View Detailed Dashboard

Your employment AI estate

  • 24

    AEDTs

  • 18

    Bias audits completed

  • 4

    Audits expiring within 90 days

  • 11

    Evidence gaps

  • 7

    Notice requirements

  • 5

    Open remediation items

Across your employment AI estate

Common employment AIUse cases.

Explore the tools your teams use across hiring and promotion. Assess each tool’s purpose, decision influence and applicability.

Discuss your use case
  • Resume screening

    Review how AI screens, scores and ranks job applicants.

  • Candidate matching

    Assess AI that matches applicants to role requirements.

  • Interview AI

    Govern tools that assess and evaluate candidates.

  • Hiring recommendations

    Understand how AI recommendations influence hiring decisions.

  • Employee assessment

    Review AI-based skills assessments used in promotion decisions.

  • Promotion decisions

    Track AI that supports employee evaluation and internal mobility.

  • Generative AI in HR

    Assess recruiting copilots and candidate recommendations.

  • Third-party HR AI

    Maintain visibility into vendor platforms and assessment tools.

  • Workforce planning

    Review how AI insights are used in hiring and promotion workflows.

  • Resume screening

    Review how AI screens, scores and ranks job applicants.

  • Candidate matching

    Assess AI that matches applicants to role requirements.

  • Interview AI

    Govern tools that assess and evaluate candidates.

  • Hiring recommendations

    Understand how AI recommendations influence hiring decisions.

  • Employee assessment

    Review AI-based skills assessments used in promotion decisions.

  • Promotion decisions

    Track AI that supports employee evaluation and internal mobility.

  • Generative AI in HR

    Assess recruiting copilots and candidate recommendations.

  • Third-party HR AI

    Maintain visibility into vendor platforms and assessment tools.

  • Workforce planning

    Review how AI insights are used in hiring and promotion workflows.

Brooklyn Bridge and Manhattan skyline at blue hour.

Ready for NYC Local Law 144?

Build a compliant Employment AI program.

Identify your AEDTs. Prepare for bias audits. Manage transparency and notices. Capture the evidence and maintain governance as your AI systems evolve.

Assess Your AEDTTalk to an Expert
  • Demonstrate fairness

    Connect bias audit evidence with disclosures and notices.

  • Reduce risk

    Identify and manage bias and governance gaps in employment AI.

  • Build trust

    Show accountable AI use to candidates, employees and regulators.