S 2937 Act Aligning Incentives for Leadership, Excellence, and Advancement in Development Act 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-29

Risk subdomain coverage

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

• Lack of capability or robustness

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

• AI system security vulnerabilities
• False or misleading information
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Competitive dynamics
• Governance failure
• AI pursuing its own goals
• AI possessing dangerous capabilities
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has concentrated coverage in AI system safety, failures, and limitations (Domain 7), with good coverage of lack of robustness (7.3). It provides minimal to moderate coverage of malicious actor risks (4.2, 4.3), human-computer interaction risks (5.1, 5.2), competitive dynamics (6.4), governance failure (6.5), goal misalignment (7.1), dangerous capabilities (7.2), and lack of transparency (7.4). The focus is primarily on establishing liability for defective AI products and their consequences rather than comprehensive risk mitigation across all domains.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This is a horizontal regulation that establishes liability standards applicable across all economic sectors where AI systems are developed, deployed, or used. The Act does not limit its application to specific industries but rather creates a comprehensive federal products liability framework for AI that applies to interstate commerce broadly. While it mentions specific harms (such as teenagers and chatbots), it does not restrict governance to particular sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is binding federal legislation from the U.S. Congress establishing mandatory liability standards for AI developers and deployers, with explicit enforcement mechanisms through federal courts, civil penalties, and injunctive relief.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senator Durbin; Senator Hawley; Senate Committee on the Judiciary
• Summary: The bill was introduced in the Senate by Mr. Durbin and Mr. Hawley and referred to the Committee on the Judiciary, making the U.S. Congress the proposer of this governance instrument.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: developers of artificial intelligence systems; deployers of artificial intelligence systems; foreign developers
• Summary: The Act explicitly targets AI developers (those who design, code, produce, or modify AI systems) and deployers (those who use or operate AI systems). Title I establishes separate liability standards for each category, and Title IV specifically addresses foreign developers.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Attorney General of the United States; State Attorneys General; Federal District Courts
• Summary: Section 301 establishes that the U.S. Attorney General and State Attorneys General have enforcement authority to bring civil actions. Section 402 specifically grants the Attorney General authority to seek injunctive relief. Federal district courts serve as the judicial enforcement bodies.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Federal District Courts; Attorney General of the United States
• Summary: While no dedicated monitoring body is established, the courts will monitor compliance through the adjudication of liability actions. The Attorney General maintains a public registry of foreign agent designations, providing some monitoring function for foreign developers' compliance.

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 comprehensively covers most AI lifecycle stages with particular emphasis on Design, Build/Use Model, Deploy, and Operate/Monitor stages. It explicitly addresses design defects, training data selection, testing and fine-tuning processes, deployment/distribution, and ongoing use in operation. Data collection/processing receives minimal explicit coverage.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document extensively covers AI systems and AI models through detailed definitions and liability frameworks. It applies broadly to artificial intelligence systems defined by machine learning algorithms and decision-making capabilities. The document does not explicitly reference frontier AI, GPAI, foundation models, generative AI, or specific compute thresholds, maintaining technology-neutral language applicable to various AI types.