New Jersey SB 3876

• Authority: New Jersey
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Defunct
• Most recent activity date: 2024-06-16

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Compromise of privacy
• False or misleading information
• Fraud, scams, and targeted manipulation
• Overreliance and unsafe use
• Loss of human agency and autonomy

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 8-10 subdomains, with strong focus on discrimination and fairness (1.1, 1.3), privacy (2.1), security vulnerabilities (2.2), misinformation (3.1), governance structures (6.5), and AI system safety including lack of robustness (7.3) and lack of transparency (7.4). Coverage is concentrated in discrimination prevention, governance oversight, and system reliability domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This legislation governs AI use across all New Jersey state government operations, which span multiple sectors. The definition of 'critical decision' explicitly covers AI systems used in education, employment, utilities, healthcare, housing, financial services, legal services, and public administration. The primary focus is on Public Administration (government agencies), with significant coverage of how government AI systems impact regulated activities in Education, Health Care, Finance, and other sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative statute with mandatory language throughout, establishing legal obligations for state agencies, creating enforcement mechanisms through designated officers with authority to halt non-compliant systems, and requiring compliance with specific procedures.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Senator Troy Singleton; New Jersey State Legislature (220th Legislature)
• Summary: The document is a legislative bill introduced by Senator Troy Singleton in the New Jersey State Senate, as indicated in the header and sponsorship information.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: New Jersey State agencies; State agencies in the Executive Branch; Legislature of the State; independent State authority, commission, instrumentality, public benefit corporation, or agency
• Summary: The legislation explicitly targets State agencies that develop, procure, or utilize automated systems for critical decisions affecting residents. The definition of 'State agency' encompasses executive departments, legislative offices, and independent state authorities.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Artificial Intelligence Officer; Artificial Intelligence Implementation Officer; Chief Technology Officer; Office of Information Technology
• Summary: The legislation establishes two primary enforcement officers with specific authorities: the AI Officer develops procedures, and the AI Implementation Officer reviews compliance and has authority to halt non-compliant systems. The Chief Technology Officer appoints these positions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: New Jersey Artificial Intelligence Advisory Board; Artificial Intelligence Implementation Officer; Artificial Intelligence Officer; Office of Information Technology
• Summary: The legislation establishes a multi-layered monitoring structure including an Advisory Board with oversight powers, the AI Implementation Officer who conducts periodic reevaluations, and public transparency requirements through the Office of Information Technology's website.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document comprehensively covers all AI lifecycle stages from planning through operational monitoring. It establishes requirements for the entire lifecycle including design considerations, data processing standards, model development and procurement, validation procedures, deployment approval processes, and ongoing monitoring and evaluation.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Systems

Technical Scope Summary

The document extensively covers AI systems and automated systems but does not explicitly mention AI models as a separate concept. It does not reference frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on 'automated systems' broadly defined to include machine learning and AI techniques applied to critical government decisions.