Leading Ethical AI Development (LEAD) for Kids Act

Establishes the LEAD for Kids Act, mandating AI systems intended for children to assess risk levels and adhere to regulations. Forms a board to oversee compliance, issue guidelines, and ensure AI doesn't adversely impact children. Imposes penalties for noncompliance.

  • Authority: California
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: Editors' Picks;U.S. state and local documents
  • Most recent activity: Proposed
  • Most recent activity date: 2025-04-23

Risk subdomain coverage

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

  • Exposure to toxic content
  • Compromise of privacy
  • Disinformation, surveillance, and influence at scale
  • Fraud, scams, and targeted manipulation
  • Overreliance and unsafe use
  • 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.

  • Unfair discrimination and misrepresentation
  • Unequal performance across groups
  • AI system security vulnerabilities
  • False or misleading information
  • 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 10-12 subdomains, with strong focus on discrimination and toxicity (1.1, 1.2, 1.3), privacy compromise (2.1), AI system security (2.2), misinformation (3.1), malicious actors (4.1, 4.3), human-computer interaction (5.1, 5.2), and system safety failures (7.3, 7.4). Coverage is concentrated in child protection, privacy, safety, and transparency domains.

Sector coverage

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

  • Information
  • Educational Services

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

  • Professional & Technical Services
  • Health Care & Social Assistance
  • Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (AI developers and deployers) and Educational Services sector (AI systems used in educational settings for pupil assessment and discipline). It also has moderate coverage of Health Care and Social Assistance through restrictions on mental health therapy chatbots and emotional state assessment.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act establishing mandatory requirements for AI systems intended for children, with explicit enforcement mechanisms including civil penalties, regulatory oversight by a board, and private rights of action.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a legislative act being added to the California Business and Professions Code, indicating it was proposed by the California state legislature.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Summary: The act explicitly defines and regulates both 'developers' and 'deployers' of covered products (AI systems for children), imposing specific obligations on each category.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The act establishes the LEAD for Kids Standards Board with regulatory authority and designates the Attorney General as the primary enforcement authority for violations.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The Board is responsible for monitoring compliance through registration systems, incident reporting mechanisms, and oversight of independent audits. Third-party auditors conduct technical compliance assessments.

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 multiple AI lifecycle stages with particular emphasis on deployment and operational monitoring. It addresses planning and design through risk assessment requirements, verification and validation through mandatory audits, deployment through registration and labeling requirements, and operation and monitoring through incident reporting and post-deployment assessments.

Technical Scope

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

  • AI Systems
  • Generative AI

Technical Scope Summary

The document explicitly defines and regulates 'artificial intelligence' systems and 'covered products' (AI systems intended for children). It specifically addresses generative AI through the companion chatbot definition and regulations. The document does not mention frontier AI, general purpose AI, foundation models, predictive AI, open-weight models, or compute thresholds.

https://leginfo.legislature.ca.gov/faces/billCompareClient.xhtml?bill_id=202520260AB1064&showamends=false
https://agora.eto.tech/instrument/2415
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Document data from AGORA, CSET Emerging Technology Observatory.