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Record STMT-W094444Soft law

National Artificial Intelligence Strategy Uruguay 2024 - 2030

Estrategia Nacional de Inteligencia Artificial Uruguay 2024 - 2030

Strategy State lawLatin America and the Caribbean · UYdraft

This document presents Uruguay's National Artificial Intelligence Strategy for 2024-2030, developed through a collaborative co-creation process involving public, private, academic, and civil society stakeholders. It establishes core principles, strategic objectives, and action lines across governance, national capacities, and sustainable development to foster ethical and responsible AI. The strategy serves as a working document designed for public consultation to guide national AI policy and implementation.

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

Who issued it

Agencia de Gobierno Electrónico y Sociedad de la Información y del ConocimientoGovernment (executive) · UY
Lead issuer
Legal forceSoft law
Under whose authorityState law
Judged fromfull text

Who it governs

General publicNational governmentPublic sector bodiesCompaniesAI developers and providersAI deployers and usersResearchers and academics

This strategy is for citizens, policymakers, public sector bodies, researchers, and private sector organizations interested in the development and regulation of artificial intelligence in Uruguay.

Sectors
Cross-sector

What the document contains

What's covered

The document covers Uruguay's national strategy for artificial intelligence from 2024 to 2030. It outlines ten guiding principles, institutional governance frameworks, regulatory mechanisms, infrastructure development, data management, talent management, cybersecurity, and sector-specific applications for sustainable economic development.

What's missing

The document is a draft for public consultation and does not contain binding final legislation or detailed enforcement penalties for non-compliance.

Key takeaways
  • The strategy sets national AI guidelines for Uruguay covering the 2024-2030 period.
  • It is built on a multi-stakeholder and co-creation approach involving the public sector, private sector, academia, and civil society.
  • Ten core principles guide the strategy, including human well-being, democracy, human rights, non-discrimination, data privacy, and transparency.
  • The plan is structured around three main axes: Governance, Capacities for AI, and Sustainable Development.
  • It incorporates international standards from UNESCO, the OECD, and the Council of Europe.
Principles it states
AI for human well-being and sustainable developmentStrengthening of democracyRespect for human dignity and human rightsEquity and non-discriminationProtection and privacy of personal dataTransparency and explainabilityResponsibility and accountabilityReliability and securityResponsible and safe innovationMulti-stakeholder approach
Outline
· Introducción
· Antecedentes
· Objetivos de la Estrategia
· Principios rectores
· Ejes temáticos
· Proceso de creación, seguimiento y revisión de la Estrategia
Issued2024
Length12,596 words
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.

Fairness

4/5

Non-discrimination and equitable treatment

Con este fin los actores de la IA deben considerar durante todas las fases del ciclo de vida de los sistemas, las necesidades específicas y los impactos diferenciados en los grupos en situación de vulnerabilidad

Principios - 4. Equidad y no discriminación

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

En aras de un uso de la IA ético y respetuoso de los derechos humanos los actores de la IA deben asegurar que, cuando los sistemas de IA se utilicen para tomar decisiones o apoyar la toma de decisiones, siempre haya una supervisión humana sobre los resultados producidos por la IA.

Principios - 3. Respeto de la dignidad y los derechos humanos

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Para ello, los actores de la IA –del ámbito público o privado- deben garantizar que los datos que recopilen y utilicen, cumplan con la normativa vigente sobre protección y privacidad de datos personales, y los lineamientos de la Unidad Reguladora y de Control de Datos Personales (URCDP).

Principios - 5. Protección y privacidad de los datos personales

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Los actores de la IA deben asegurar la transparencia y explicabilidad en relación con los sistemas de IA. Esto implica proporcionar información significativa adecuada al contexto y la situación específica

Principios - 6. Transparencia y explicabilidad

screening score · 2026-10-23

Enforcement

2/5

Consequences and compliance mechanisms with real force

Incorporar y/o adecuar las competencias de los organismos públicos en relación con sus cometidos sustantivos, para fortalecer la supervisión y fiscalización, y la disponibilidad de mecanismos adecuados y efectivos para la reclamación.

Línea 1.1 Institucionalidad

screening score · 2026-10-23

Impact Assessment

4/5

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

Estas medidas deben incluir marcos y procedimientos que posibiliten identificar, evaluar, prevenir y mitigar, ex ante, y -según corresponda- de manera iterativa durante el ciclo de vida de los sistemas de IA, los riesgos e impactos adversos en los derechos humanos.

Principios - 3. Respeto de la dignidad y los derechos humanos

screening score · 2026-10-23

Topics

artificial_intelligence national_strategy ethics governance public_policy