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Argentina AI Strategy

Argentina AI Strategy 2025

Non-binding AI governance guidelines establishing principles for responsible AI use. Argentina positioning as AI innovation hub with limited regulatory barriers. Emphasizes transparency, accountability, and human oversight. Multiple legislative proposals pending inspired by EU AI Act, aiming to establish formal regulatory authority.

Jurisdiction

Argentina

Enacted

Jan 1, 2025

Effective

Jan 1, 2025

Enforcement

None currently - non-binding guidance. Regulatory authority proposed in pending legislation.

Non-binding governance guidelines in effect 2025

Future of Privacy Forum

Why It Matters

Argentina's light-touch approach contrasts with comprehensive frameworks in Chile, Brazil, Mexico. Non-binding status means minimal current compliance burden, but pending legislation could introduce EU-style requirements.

Recent Developments

Multiple legislative proposals pending as of 2025, inspired by EU AI Act. Proposals aim to establish regulatory authority and formalize governance principles. Argentina taking sector-specific approach (public administration, judiciary) rather than comprehensive framework. Government emphasizes Argentina as innovation hub with minimal barriers.

Who Must Comply

  • AI developers and deployers in Argentina
  • Public sector AI applications
  • Private sector AI companies
  • International companies operating in Argentina

Safety Provisions

  • Transparency: AI systems should be explainable and understandable
  • Accountability: Clear responsibility for AI outcomes and decisions
  • Human oversight: Human control and intervention in AI systems
  • Sector-specific approach: Tailored regulation for different AI applications
  • Innovation-friendly: Light regulatory touch to encourage development

Compliance & Enforcement

Penalties

Not applicable - non-binding guidance

View on map

Argentina

Focus Areas

Algorithmic accountability

Cite This

APA

Argentina. (2025). Argentina AI Strategy 2025.

Last updated February 17, 2026. Verify against primary sources before relying on this information.