California Senate Bill 1288 (2024)

• Authority: California
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-09-30

Risk subdomain coverage

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

• Compromise of privacy
• Overreliance and unsafe use
• Loss of human agency and autonomy

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
• Fraud, scams, and targeted manipulation
• Increased inequality and decline in employment
• Economic and cultural devaluation of human effort
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal to good coverage of approximately 6-8 subdomains, with primary focus on privacy and security (2.1, 2.2), human-computer interaction (5.1, 5.2), socioeconomic impacts (6.2, 6.3), and system safety (7.3, 7.4). Coverage is concentrated in educational context risks including data privacy, overreliance, educator displacement, and system robustness.

Sector coverage

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

• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs AI use in the Educational Services sector, specifically public schools including K-12 school districts, county offices of education, and charter schools. It does not regulate AI use in other sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding California state statute enacted by the Legislature and approved by the Governor, creating mandatory obligations for the Superintendent of Public Instruction to convene a working group and develop AI guidance for educational institutions.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a California Senate Bill (SB 1288) proposed by Senator Becker and enacted by the California Legislature, then approved by the Governor.

Target

• Entity Types: AI_Governance_Actor, AI_User, Affected_Stakeholder
• Summary: The statute targets the Superintendent to create a working group, and the resulting guidance and model policies will apply to local educational agencies (school districts, county offices of education) and charter schools, affecting educators and pupils.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Superintendent of Public Instruction is responsible for implementing the statute by convening the working group and ensuring compliance with the mandated timelines and requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The working group must report findings to legislative committees, and all working group meetings are subject to open meeting requirements, enabling legislative and public monitoring.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It requires assessment of current AI use in education (deployment), development of guidance and policies for safe implementation (deployment), and ongoing monitoring practices. The Plan and Design stage is implicitly covered through procurement guidance and decision-making processes.

Technical Scope

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

• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document explicitly defines and covers artificial intelligence broadly as 'an engineered or machine-based system that varies in its level of autonomy.' It does not distinguish between AI models, AI systems, or specific types like frontier AI, general purpose AI, foundation models, or generative AI. No compute thresholds or open-weight/open-source distinctions are mentioned.