City of Long Beach Data Privacy Guidelines (2021)

• Authority: Long Beach, CA
• Parent authority: Local governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2021-01-01

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
• Compromise of privacy
• Lack of transparency or interpretability

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

• AI system security vulnerabilities
• 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 6-8 subdomains, with strong focus on unfair discrimination (1.1), unequal performance across groups (1.3), privacy compromise (2.1), lack of transparency (7.4), and human oversight of AI decision-making. Coverage is concentrated in discrimination/toxicity, privacy, and AI system safety 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)

All other sectors had no coverage in this document.

Sectors Summary

This is an internal municipal government policy that governs AI and data use across all City of Long Beach operations and services. The primary sector governed is Public Administration (excluding National Security), as this policy applies to city government operations, services, and technology deployments.

Legislative Status

Soft Law

Legislative Status Summary

This document is a set of voluntary guidelines issued by a municipal government that uses aspirational language ('will strive to uphold') and lacks formal enforcement mechanisms or penalties for non-compliance.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: City of Long Beach Technology & Innovation Department; Technology & Innovation Commission
• Summary: The document was developed by the City's Technology & Innovation Department working closely with the resident-led Technology & Innovation Commission through focus groups, workshops, and surveys.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: City of Long Beach departments; City vendors and partners
• Summary: The guidelines apply to the City of Long Beach and its partners/vendors who deploy technology and collect data in providing city services.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: City of Long Beach Technology & Innovation Department
• Summary: While no formal enforcement body is specified, the Technology & Innovation Department is responsible for providing technical guidance and working with departments to embed the guidelines.

Monitor

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: Technology & Innovation Commission; Long Beach residents
• Summary: The Technology & Innovation Commission and residents are positioned to monitor implementation through feedback channels and complaint mechanisms.

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 covers multiple lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It addresses planning considerations through privacy by design principles, and emphasizes ongoing monitoring and human oversight of AI systems in operation.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly mentions AI systems, algorithms, and machine learning. It addresses both algorithmic and AI technology broadly without distinguishing between frontier, general purpose, or task-specific AI. No compute thresholds or open-source models are mentioned.