AI Strategy for the Digital Government
This document outlines Uruguay's strategy for incorporating artificial intelligence into its digital government and public administration. It establishes general principles and four main pillars—AI governance, capacity development, responsible use, and digital citizenship—to promote ethical, transparent, and human-centric AI applications in the public sector.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This strategy is for public officials, policy-makers, and public sector bodies seeking to implement AI responsibly within government services.
What the document contains
The strategy covers the integration of artificial intelligence into public administration and digital government services. It addresses governance frameworks, capacity building for public servants, technical guidelines for responsible implementation, and measures to foster digital citizenship and transparency.
The document does not provide binding legislative enactments, specific civil penalties for non-compliance, or detailed technical specifications for proprietary software integration.
- Uruguay's AI strategy aims to promote and strengthen the responsible use of artificial intelligence within the Public Administration.
- The strategy is built upon four core dimensions: ethical, regulatory, technical, and social.
- General principles include purpose, general interest, respect for human rights, transparency, responsibility, ethics, added value, privacy by design, and security.
- The four strategic pillars focus on AI governance, capacity development, responsible use through technical guides, and digital citizenship.
- A multidisciplinary working group developed this first version to foster better public services, data management, and decision-making processes.
· INTRODUCTION · BACKGROUND · AI STRATEGY FOR THE DIGITAL GOVERNMENT · GENERAL PRINCIPLES · PILLARS, OBJECTIVES AND LINES OF ACTION - AI Governance in Public Administration - Capacity Development - Responsible use - AI and digital citizenship
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Technological solutions based on AI must have a clearly identifiable person responsible for the actions derived from the solution actions.
9 General principles
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
For this, work must be carried out specifically to reduce the possibility of unwanted biases in the data and models used that may negatively impact people or favor discriminatory practices.
9 General principles
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
The social dimension in Public Administration implies generating people oriented solutions that seek the general interest and consider the agency capacity of human beings.
7 AI Strategy for the Digital Government
screening score · 2026-10-23
Human Oversight
3/5Humans remain in control of consequential decisions
When the application and / or development of AI -based solutions present ethical dilemmas, they must be addressed and resolved by human beings.
9 General principles
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
AI solutions should contemplate people´s privacy from their design stage. Personal Data Protection principles in force in Uruguay are considered components of this document.
9 General principles
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Establish standards and procedures for the dissemination of the processes used for the development, training and commissioning of algorithms and AI systems, as well as the results obtained.
14 Responsible use
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
to define guidelines, ensure capacity building and favor a research culture in AI.
10 AI Governance in Public Administration
screening score · 2026-10-23