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Bill

A 4981

Regulates use of artificial intelligence-based systems for electronic monitoring regarding employment and public services.

2026-2027 Regular Session Introduced by Joe Danielsen and 6 co-sponsors

The bill regulates AI-based monitoring in hiring and public services, requiring transparency, fairness, data protection, and oversight to prevent biased or discriminatory automated

Introduced, Referred to Assembly Science, Innovation and Technology Committee
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Bill Summary · A 4981

Summary of Bill A 4981 (Session 222) — New Jersey

Title

Regulates use of artificial intelligence-based systems for electronic monitoring regarding employment and public services.

Purpose and Intent

A 4981 seeks to govern the use of artificial intelligence (AI)–based systems that are used to electronically monitor or assist in monitoring individuals in two broad contexts:
- Employment-related monitoring (e.g., hiring, performance evaluation, monitoring of employees or applicants)
- Provision of public services (e.g., interactions with government programs, access to services)

The bill aims to increase transparency, accountability, and protections for individuals by setting standards for how AI systems may be deployed in these areas.

Key Provisions and Changes

  • Definitions and Scope

    • Clarifies what constitutes an AI-based monitoring system (including automated decision-making, profiling, and other algorithmic tools used to observe, assess, or predict behavior).
    • Specifies that the bill applies to both private-sector employment processes and state/local government service delivery where AI monitoring is used.

  • Prohibition and Limitations

    • Prohibits certain uses of AI systems that would lead to discriminatory, unreliable, or unchecked decision-making in employment or public services.
    • Establishes thresholds or criteria for acceptable use, including accuracy, fairness, and non-discrimination standards.

  • Transparency and Disclosure

    • Requires entities to inform individuals when an AI-based monitoring system is being used in employment decisions or for public service interactions.
    • May mandate disclosure of the general purpose, data inputs, and decision rationale (to the extent technically feasible and legally permissible).

  • Data Privacy and Protection

    • Sets requirements for data collection, retention, minimization, and security related to AI monitoring data.
    • Defines permissible data types and uses, with restrictions on sensitive or personally identifiable information where not necessary for the stated purpose.

  • Accountability and Oversight

    • Establishes oversight mechanisms (potentially including an enforcement body or official) to monitor compliance.
    • Creates potential penalties for noncompliance, ranging from fines to corrective action orders.
    • May require periodic reporting or auditing of AI systems used in the covered contexts.

  • Algorithmic Fairness and Testing

    • Requires validation of AI systems for bias and fairness prior to deployment in employment or public service settings.
    • Possibly mandates regular re-evaluation or impact assessments to detect drift or new biases.

  • Redress and Remedies

    • Provides avenues for individuals to challenge or appeal AI-driven decisions affecting employment or public services.
    • Specifies procedures for complaint handling and timelines for responses.

  • Effective Date and Phase-In

    • Includes an effective date and potential phase-in period for compliance.
    • May differentiate requirements for large entities versus small businesses or local government agencies.

Who/What Is Affected

  • Organizations and Entities Covered

    • Private employers and their use of AI-based monitoring in hiring, promotion, performance assessment, or surveillance of employees.
    • State and local government agencies and contractors using AI systems to administer or deliver public services.

  • Individuals

    • Job applicants, current employees, and individuals seeking or receiving public services who may be subject to AI-driven monitoring or decisions.

Procedural and Timeline Aspects

  • Sponsorship
    • Primary sponsor: (noted) Co-sponsor Heather Simmons.
  • Legislative Process
    • As a 2nd reading/introduced bill in the New Jersey Assembly, it will proceed through committee reviews (e.g., Consumer Affairs, Labor, Judiciary) and potential amendments.
  • Compliance Timeline
    • The bill likely contemplates an effective date with a phased rollout to allow entities to adjust systems, conduct testing, and implement required disclosures and safeguards.

Potential Impacts

  • Increased transparency for individuals subject to AI-driven decisions in employment and public services.
  • Enhanced protections against bias, discrimination, and data privacy violations in AI monitoring.
  • Administrative burden on organizations to assess, validate, and monitor AI systems, and to maintain records of disclosure and compliance.
  • Possible impact on speed and cost of hiring and service delivery processes due to added safeguards and auditing requirements.

This summary reflects the bill’s stated objectives to regulate AI-based monitoring in employment and public services, outlining the main provisions, affected parties, and procedural considerations. For a more precise understanding, consulting the bill’s text and fiscal note (when released) is recommended.

Compiled from official sources — confirm details with the bill’s official record.

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