West Virginia House Bill 3214

• Authority: West Virginia
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-06-08

Risk subdomain coverage

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

• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only subdomain 7.3 (Lack of robustness) receiving a score above 1. The document focuses on implementing AI/ML technology for road assessment but does not substantially address AI-specific risks, harms, or safety concerns beyond basic system reliability considerations.

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 document primarily governs the Public Administration sector (excluding National Security) by establishing requirements for the West Virginia Division of Highways to implement an AI-based road assessment pilot program. The governance is specific to government highway maintenance operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative bill that creates a mandatory pilot program with specific requirements for the Commissioner of Highways to promulgate rules. The document uses mandatory language throughout and establishes legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: West Virginia Legislature
• Summary: The document is a legislative bill proposed by the West Virginia Legislature to amend the state code and create a pilot program.

Target

• Entity Types: AI_Governance_Actor
• Entities: West Virginia Commissioner of Highways; West Virginia Division of Highways
• Summary: The bill targets the Commissioner of Highways who must promulgate rules and the Division of Highways which must implement the pilot program by having employees drive roads and capture data.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: West Virginia Legislature; West Virginia Commissioner of Highways
• Summary: The Legislature retains enforcement authority through the legislative approval process for rules, while the Commissioner of Highways has authority to implement and oversee the program.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: West Virginia Division of Highways
• Summary: The Division of Highways is responsible for monitoring through biannual data capture and processing, comparing changes in road conditions over the three-year pilot period.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Plan and Design (establishing the pilot program framework), Collect and Process Data (extensive data collection requirements), Build and Use Model (ML/AI training and deployment), and Operate and Monitor (ongoing data capture and predictive analysis). The document does not explicitly address verification and validation stages.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions both Machine Learning (ML) and Artificial Intelligence (AI) for road assessment purposes. It describes a predictive AI system rather than generative AI, focused on the specific task of road condition assessment. No mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.