Requires the Maryland Department of Information Technology to evaluate AI's potential in developing a statewide virtual 3–1–1 portal for nonemergency government information and services, and if feasible, prioritize its creation by July 1, 2024.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal risk domain coverage, focusing primarily on a feasibility study for AI implementation in government services. It does not substantively address AI risks, harms, or mitigation measures across the MIT taxonomy 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 Public Administration (excluding National Security) by directing a state government agency to evaluate and potentially implement AI for government information services. It also has minimal coverage of Information sector through the technological infrastructure component.
Hard Law
Legislative Status Summary
This is a binding legislative act enacted by the Maryland General Assembly and approved by the Governor, creating legal obligations for the Department of Information Technology to evaluate AI feasibility and prioritize implementation if feasible.
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 primarily addresses the Plan and Design stage by requiring evaluation of AI's potential for creating a virtual 3-1-1 portal. It implicitly covers Deploy and Operate and Monitor stages through the requirement to prioritize creation if feasible, though without detailed specifications for these later stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document mentions artificial intelligence in general terms without defining it or specifying particular types of AI systems, models, or technical parameters. No distinctions are made between AI models, systems, or specific AI categories.
Document data from AGORA, CSET Emerging Technology Observatory.