Establishes an AI Subcabinet to ensure responsible AI use by Maryland state agencies, promoting principles of fairness, transparency, and innovation, while safeguarding privacy and security. Requires development of an AI Action Plan and training programs for state employees.
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 minimal to good coverage of approximately 6-8 subdomains, with primary focus on governance (6.5), security vulnerabilities (2.2), unfair discrimination (1.1), and privacy compromise (2.1). Coverage is concentrated in governance structures, fairness/equity principles, and security considerations for state AI use.
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 executive order governs AI use exclusively within Maryland state government operations, which primarily falls under Public Administration. The document also identifies three critical domains for future study: workforce, economic development, and security, but does not currently regulate AI use in private sector industries.
Hard Law
Legislative Status Summary
This is a binding executive order issued by the Governor of Maryland with legal authority under the state constitution and laws. It contains mandatory language establishing governance structures and requiring state agencies to cooperate and comply.
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 covers multiple AI lifecycle stages with primary focus on Plan and Design (establishing principles and governance), Deploy (procurement and implementation), and Operate and Monitor (continuous monitoring and assessment). It addresses the full lifecycle from planning through operational monitoring for state AI systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI and Generative AI (GenAI) with formal definitions. 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 AI systems broadly used by state government.
Document data from AGORA, CSET Emerging Technology Observatory.