Harmful Algal Bloom and Hypoxia Research and Control Amendments Act of 2023, Sec. 2f ("National Harmful Algal Bloom and Hypoxia Observing Network")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It establishes a harmful algal bloom observing network that incorporates AI for environmental monitoring purposes, but does not address AI-specific risks, harms, or governance challenges. The document is focused on environmental monitoring infrastructure rather than AI risk management.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (excluding National Security) by establishing mandatory requirements for federal agencies (NOAA, NCCOS, IOOS) to create environmental monitoring infrastructure. It also has implications for Scientific Research and Development Services through the establishment of research and forecasting capabilities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress that amends existing law (33 U.S.C. 4005) and creates mandatory obligations for federal agencies using 'shall' language throughout.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is titled 'Harmful Algal Bloom and Hypoxia Research and Control Amendments Act of 2023' and is explicitly identified as being enacted by the United States Congress, which has the constitutional authority to propose and enact federal legislation.

Target

• Entity Types: AI_Governance_Actor
• Summary: The statute directly mandates actions by specific federal agencies and programs within NOAA, requiring them to establish observing systems and coordinate activities. These are the entities that must comply with the statutory requirements.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: As a federal statute, enforcement authority resides with the executive branch agency responsible for implementation - NOAA. The Under Secretary has the authority to ensure compliance with the statutory mandate within the agency's organizational structure.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The statute establishes specific monitoring and coordination functions, including a Data Assembly Center for integration and dissemination, and requires the IOOS Program Office to coordinate with NCCOS on observations and data integration.

AI Lifecycle Stages

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

• Collect and Process Data
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses the deployment and operational monitoring of AI systems for harmful algal bloom detection and forecasting. It focuses on establishing infrastructure for data integration and dissemination, which relates to the Deploy and Operate and Monitor stages of the AI lifecycle.

Technical Scope

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

• Predictive AI
• Task-specific AI

Technical Scope Summary

The document mentions AI only in the context of 'artificial intelligence' as an example of emerging technologies and new data integration methods for environmental monitoring. It does not define or distinguish between AI models, AI systems, or any specific categories of AI. No compute thresholds or model types are specified.