HR 5300 Department of State Policy Provisions Act 2025 (Language Translation Capabilities)

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-18

Risk subdomain coverage

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

• False or misleading information
• Overreliance and unsafe use
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3 subdomains. Primary focus is on translation accuracy (3.1 False Information), appropriate use of AI vs human review (5.1 Overreliance), and system reliability (7.3 Lack of Robustness). Coverage is concentrated in mitigating risks from AI translation errors and ensuring appropriate human oversight.

Sector coverage

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

• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector, specifically the Department of State's use of AI language translation capabilities across its diplomatic missions and operations. The regulation is internal to a single government department.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that amends existing statute (State Department Basic Authorities Act of 1956) using mandatory language and creating binding legal obligations for the Department of State.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: This is HR 5300, a bill from the United States Congress amending the State Department Basic Authorities Act of 1956.

Target

• Entity Types: AI_Deployer, AI_Governance_Actor
• Entities: Department of State; Chief Artificial Intelligence Officer
• Summary: The document creates obligations for the Chief Artificial Intelligence Officer to establish and deploy an AI translation program within the Department of State. The Department is deploying AI systems for its own operations.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress (oversight); Department of State leadership
• Summary: As a statutory requirement, enforcement would occur through Congressional oversight and internal Department of State compliance mechanisms, though specific enforcement bodies are not named in this excerpt.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Chief Artificial Intelligence Officer; Department of State
• Summary: The Chief Artificial Intelligence Officer is responsible for ensuring adherence to Department policies, which implies monitoring responsibilities, though explicit monitoring mechanisms are not detailed in this excerpt.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple lifecycle stages with emphasis on deployment and operation. It addresses planning and design of the translation program, model training and fine-tuning, verification through human review, deployment across Department missions, and operational policies for appropriate use.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI models (translation models), AI systems (language translation system), and generative AI (multi-modal generative artificial intelligence). It addresses task-specific AI for translation purposes. No mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.