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.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
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.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
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.
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.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
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.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
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.
Document data from AGORA, CSET Emerging Technology Observatory.