Requires Miami-Dade County employees under the Mayor to use artificial intelligence (AI) tools ethically and responsibly. Instructs the Human Resources (HR) and Information Technology Departments (ITD) to provide necessary training and oversight. Directs ITD to oversee AI procurement, deployment, and data security. Establishes guidelines for AI training, risk assessments, data handling, and community engagement, ensuring compliance with privacy and ethical standards.
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 8-10 subdomains, with strong focus on privacy and security (2.1, 2.2), AI system safety and robustness (7.3, 7.4), governance (6.5), and discrimination concerns (1.1, 1.3). Coverage is concentrated in operational security, data protection, ethical AI use, and governance oversight 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
This document primarily governs AI use within Public Administration (excluding National Security), as it is an internal policy for Miami-Dade County government operations and employees. The governance measures apply to how county employees across all departments use AI tools in delivering public services.
Hard Law
Legislative Status Summary
This is a binding administrative order issued under the authority of the Miami-Dade County Home Rule Amendment and Charter, with mandatory compliance requirements and enforcement through HR disciplinary actions.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with primary focus on deployment, operation and monitoring. It addresses planning through risk assessments and strategic oversight, data handling through privacy protocols, model deployment through procurement and vendor assessment processes, and comprehensive operational monitoring through regular audits and evaluations.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI tools, AI systems, AI technologies, and generative AI models. It does not specifically mention frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds. The focus is on practical AI tools and systems used in government operations.
Document data from AGORA, CSET Emerging Technology Observatory.