Federal Senate Bill of Law No. 5051, of 2019

Requires human supervision in AI systems and assigns civil liability for damages from AI usage to the supervisor. Requires state entities to train workers on AI and create specific workers' protection policies.

  • Authority: Other authorities
  • Collections: Miscellaneous documents
  • Most recent activity: Defunct
  • Most recent activity date: 2024-12-10

Risk subdomain coverage

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

  • Compromise of privacy
  • Overreliance and unsafe use
  • Loss of human agency and autonomy
  • Increased inequality and decline in employment
  • Economic and cultural devaluation of human effort
  • Governance failure
  • Lack of capability or robustness
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with primary focus on human supervision and oversight (5.1, 5.2), governance structures (6.5), and system reliability (7.3). The coverage is concentrated on human-AI interaction risks and basic governance principles rather than technical AI safety or security concerns.

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.

  • 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
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This is a horizontal regulation that applies across all economic sectors in Brazil. The document establishes general principles for AI usage applicable to both private sector entities and government agencies across all industries, with specific provisions for public administration.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument (Bill of Law) proposed to the Brazilian National Congress with mandatory language and civil liability provisions for non-compliance.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is explicitly authored and proposed by Senator Styvenson Valentim to the Brazilian National Congress, as indicated in the signature and the legislative format.

Target

  • Entity Types: AI_Developer, AI_Deployer, AI_Governance_Actor
  • Summary: The law applies broadly to all AI usage in Brazil, with specific provisions for government entities and requirements for human supervision across all AI deployments.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The document assigns enforcement responsibilities to government entities at all levels and establishes civil liability mechanisms that would be enforced through the court system.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The document requires government entities to take proactive regulatory action and establishes human supervision requirements, implicitly creating monitoring responsibilities at both governmental and operational levels.

AI Lifecycle Stages

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

  • Plan and Design
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on deployment and operation. It addresses design principles, deployment requirements (human supervision), and operational monitoring, but does not explicitly cover data collection, model building, or formal verification/validation processes.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document uses the general term 'Artificial Intelligence' and 'Artificial Intelligence systems' throughout without defining specific technical categories. It does not distinguish between AI models, systems, or specific types like generative or predictive AI, nor does it mention compute thresholds or open-source models.

https://www.derechosdigitales.org/wp-content/uploads/Brazil-Bill-No-5051-of-2019-EN.pdf
https://agora.eto.tech/instrument/2675
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Document data from AGORA, CSET Emerging Technology Observatory.