New York Senate Bill S3008C ("Part X")

• Authority: New York
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2025-05-09

Risk subdomain coverage

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

• Unfair discrimination and misrepresentation
• Compromise of privacy
• Fraud, scams, and targeted manipulation
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with primary focus on privacy compromise (2.1), unfair discrimination (1.1), and lack of transparency (7.4). Coverage is concentrated in privacy, fairness, and transparency domains related to personalized algorithmic pricing practices.

Sector coverage

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

• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services

All other sectors had no coverage in this document.

Sectors Summary

The document governs personalized algorithmic pricing across multiple consumer-facing sectors. It has broad applicability to any entity using algorithmic pricing with personal data in consumer transactions, with particular relevance to Trade/Transportation/Utilities (including for-hire vehicles), Information (e-commerce platforms), and potentially Finance and Insurance, Accommodation and Food Services, and other consumer-facing industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute with mandatory disclosure requirements, enforcement mechanisms including cease-and-desist orders and injunctions, and civil penalties up to $1,000 per violation enforced by the Attorney General.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: New York State Senate; New York State Legislature
• Summary: The document is a New York Senate Bill (S3008C), indicating it was proposed by the New York State Legislature through the Senate.

Target

• Entity Types: AI_Deployer
• Summary: The bill targets 'personalized algorithmic pricing providers' defined as 'any person, partnership, corporation, association or other entity that uses personalized algorithmic pricing' - these are entities deploying AI algorithms for pricing decisions in consumer transactions.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Attorney General of New York
• Summary: The Attorney General of New York is explicitly designated as the enforcement authority with power to issue cease-and-desist letters, seek injunctions, and impose civil penalties.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Attorney General of New York
• Summary: The Attorney General monitors compliance through consumer reports and investigation of alleged violations, with authority to determine when violations have occurred.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on disclosure requirements for deployed personalized algorithmic pricing systems and ongoing consumer notification obligations. It does not address earlier stages like planning, data collection, or model development.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document explicitly mentions algorithms used for personalized pricing but does not reference AI models, AI systems, or any specific AI categories (frontier, general purpose, task-specific, foundation models, generative, or predictive AI). It focuses on algorithmic pricing without detailed AI technical specifications or compute thresholds.