NJ, US · AI law tracker

S4279 — NJ, US

S4279 is an AI governance legislation from NJ, currently introduced. Bill S4279 would introduce a cause of action for consumers based on disparate impact from automated decision systems [1]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2026-05-11.

Status & timeline

Regulatory stage
introduced
Bill status
introduced
Authority / governing body
New Jersey State Legislature
Chamber
senate
Document type
legislation

Next deadline: No fixed deadline — effective date contingent on legislative enactment.

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Full obligation matrix

ActorObligationDeadlineSource
deployerEnsure automated decision systems do not cause disparate impact on certain consumers.null
providerDesign and develop automated decision systems that minimize the risk of disparate impact.null

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Enforcement risk score

25
/ 100

Announced regulation; enforcement footprint still forming.

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Role-based compliance checklist

  • general_counsel Assess potential legal exposure related to automated decision systems and disparate impact.
  • compliance_officer Develop or update internal policies and procedures to prevent and address disparate impact from AI systems.
  • data_scientist Implement technical methods for identifying, mitigating, and monitoring disparate impact in AI models.
  • chief_ai_officer Oversee the integration of fairness and bias mitigation into the AI lifecycle and governance framework.

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Vendor impact assessment

Vendor risk class
high
Procurement categories
hr_tech, customer_service_ai, fraud_detection, marketing_personalization, financial_decisions, security_tooling, other

Vendors providing automated decision systems, especially those used in sensitive contexts like HR, finance, or public services, will need to demonstrate robust capabilities for assessing, mitigating, and monitoring for disparate impact to their customers in New Jersey.

Sample vendor questions

  1. How does your automated decision system assess and mitigate disparate impact across different demographic groups?
  2. Can you provide documentation of fairness assessments and bias audits conducted on your system?
  3. What mechanisms are in place for transparency and explainability regarding decisions made by your AI?
  4. What are your contractual liabilities regarding disparate impact caused by your AI system?
  5. How do you monitor your AI system for emergent disparate impact post-deployment?

Intelligence briefs (1)

Frequently asked questions

What is S4279?
The New Jersey State Legislature is considering Bill S4279 (2026-2027), which proposes to establish a new cause of action for certain consumers based on disparate impact caused by automated decision systems [1]. This legislative effort seeks to create a mechanism for redress when algorithmic biases in automated decision-making lead to unfair or unequal outcomes for individuals, potentially broadening accountability for deployers. Primary source →
Why does S4279 matter?
This proposes a new avenue for liability in AI deployment, focusing on outcomes rather than intent. Primary source →
Who does S4279 affect?
Organizations deploying automated decision systems within New Jersey are within scope of this proposed legislation. This includes entities utilizing AI for processes that could result in consumer impact, such as financial services, hiring, housing, and insurance. The bill's broad language on "automated decision systems" suggests applicability across various industries that leverage algorithms to make or significantly inform decisions affecting individuals. Primary source →
What are the key dates for S4279?
No fixed deadline — effective date contingent on legislative enactment. Primary source →
What is the current status of S4279?
As of the last published update, S4279 is at the "introduced" stage, with bill status "introduced". Primary source →
Where can I find the primary source for S4279?
The primary source for the most recent update is at https://www.njleg.state.nj.us/bill-search/2026/S4279. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →

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