Maryland House Bill 622

• Authority: Maryland
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-05-08

Risk subdomain coverage

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

• Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, with only brief implicit mentions of competitive dynamics (6.4) through its focus on maintaining manufacturing competitiveness. The document is primarily a grant program for technology adoption rather than a risk mitigation framework, so it does not substantively address the harms and risks described in the MIT taxonomy.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Agriculture, Mining, Construction and Manufacturing sector, specifically targeting small and medium-sized manufacturing enterprises. The grant program is exclusively designed for manufacturers implementing Industry 4.0 technologies including AI in their manufacturing operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute enacted by the Maryland General Assembly and approved by the Governor, establishing mandatory legal obligations including required budget appropriations and regulatory authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Maryland General Assembly
• Summary: The document is a state legislative act enacted by the Maryland General Assembly, as indicated by the formal legislative language and approval process.

Target

• Entity Types: AI_Deployer
• Entities: Small and medium-sized manufacturing enterprises (SME manufacturers) in Maryland
• Summary: The program explicitly targets SME manufacturers who will be deploying Industry 4.0 technologies including AI in their manufacturing operations. These entities are the recipients of grants and must demonstrate business operations in Maryland.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Maryland Department of Commerce; Secretary of Commerce; State-chartered corporation under Title 10 (potential program administrator)
• Summary: The Department of Commerce has primary enforcement authority, including the power to require return of grants for non-compliance and to adopt regulations. The Secretary administers the Fund and may delegate program administration to a state-chartered corporation.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Maryland Department of Commerce; Program Administrator
• Summary: The Department and Program Administrator monitor compliance through required reporting mechanisms, including letters describing grant usage and invoices within one year of receiving grants.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Deploy stage of the AI lifecycle, as it focuses on grants for implementing and deploying Industry 4.0 technologies including AI in manufacturing operations. It also addresses the Plan and Design stage through requirements for demonstrating alignment with Industry 4.0 technology adoption strategies.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI as one component of Industry 4.0 technologies but does not define AI models, AI systems, or specify particular types of AI. It focuses on AI for manufacturing applications without distinguishing between frontier, general purpose, or task-specific AI, and does not mention compute thresholds or open-source models.