Record STMT-WB9351FAdvisory

Brazil's National Artificial Intelligence Strategy: Comments from BSA | The Software Alliance

BRAZIL'S NATIONAL ARTIFICIAL INTELLIGENCE STRATEGY COMMENTS FROM BSA | THE SOFTWARE ALLIANCE

Position paper Institutional policyLatin America and the Caribbean · BRproposed

This document contains comments and recommendations from BSA | The Software Alliance submitted to the Brazilian Ministry of Science, Technology, Innovation, and Communications regarding Brazil's National Artificial Intelligence Strategy. It advocates for five key pillars including trust in AI, sound data innovation policy, cybersecurity, research and development, and workforce development. The submission urges Brazil to avoid a one-size-fits-all regulation, modernize copyright laws for text and data mining, and ensure the free flow of cross-border data.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

BSA | The Software AllianceIndustry

Lead issuer

Legal forceAdvisory

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

National governmentRegulatorsCompaniesAI developers and providersAI deployers and users

Government policymakers and regulators crafting national AI strategies and digital governance frameworks should read this to understand industry perspectives on fostering innovation.

Sectors

Telecommunications and digital services · software and online servicesCross-sectorResearch and science

What the document contains

What's covered

The document addresses regulatory approaches to AI, copyright law updates for machine learning and data mining, open government data policies, cross-border data flows, cybersecurity and software security principles, and STEM workforce training initiatives.

What's missing

It does not provide binding legislation, enforceable compliance mechanisms, or technical specifications for AI risk management.

Key takeaways

Brazil should avoid a one-size-fits-all regulatory approach to artificial intelligence and instead modernize existing frameworks.
The national AI strategy should incorporate software security as a core principle across the AI lifecycle.
Brazil should amend its Copyright Law to include specific exceptions for text and data mining to support AI research and innovation.
Government agencies should make non-sensitive government data freely available under open licenses and implement privacy-preserving technologies.
Policies must facilitate the free flow of cross-border data while eliminating unwarranted data localization mandates.

Principles it states

Building Confidence and Trust in AI SystemsSound Data Innovation PolicyCybersecurity and Privacy ProtectionResearch and DevelopmentWorkforce Development

Outline

· Introduction and Summary of Comments
· A. Overarching Comment: Incorporating Software Security as a Core Principle
· B. Discussion Theme 1 – Legislation, Regulation, and Ethical Use of AI
· C. Discussion Theme 2 – AI Governance
· D. Discussion Themes 3 and 5 – Qualification for a Digital Future and Workforce Training
· E. Discussion Theme 4 – International Considerations
· Conclusion

Issued31 January 2020

Length3,095 words · 6 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

It is important to recognize the distinct stakeholders in the AI value chain, and the importance of their respective roles and responsibilities in promoting ethical AI

Discussion Theme 1 – Legislation, Regulation, and Ethical Use of AI

screening score · 2026-10-23

Fairness

1/5

Non-discrimination and equitable treatment

Highlighting industry efforts to ensure AI systems are developed in ways that maximize fairness, accuracy, data provenance, explainability, and responsibility.

Introduction and Summary of Comments

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

Introduction and Summary of Comments

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

Introduction and Summary of Comments

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

Government agencies should consider using cutting-edge technologies and data governance processes that can facilitate greater access to data while safeguarding user privacy

Discussion Theme 2 – AI Governance

screening score · 2026-10-23

Transparency

1/5

Openness about how AI systems work and are used

Highlighting industry efforts to ensure AI systems are developed in ways that maximize fairness, accuracy, data provenance, explainability, and responsibility.

Introduction and Summary of Comments

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

Introduction and Summary of Comments

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Including such a conceptual distinction would be helpful to different stakeholders as they carry out risk assessments to determine the appropriate measures to adopt for AI development, deployment, and use.

Discussion Theme 1 – Legislation, Regulation, and Ethical Use of AI

screening score · 2026-10-23

Topics

Physical AI Governancecontext

artificial_intelligence data_governance copyright_law workforce_development cross_border_data_flows software_security