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Record STMT-W865367Soft law

National Artificial Intelligence Strategy 2024-2027

Estrategia Nacional de Inteligencia Artificial 2024-2027

Strategy Institutional policyLatin America and the Caribbean · CRadopted

The National Artificial Intelligence Strategy 2024-2027 of Costa Rica establishes a roadmap to promote the ethical, secure, and responsible use, adoption, and development of artificial intelligence. It sets forth guiding principles centered on human dignity, transparency, equity, and sustainability while outlining strategic actions across seven thematic axes. The strategy seeks to maximize socioeconomic benefits, modernize public administration, foster regional innovation, and proactively manage technical and ethical risks.

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

Who issued it

Ministerio de Ciencia, Innovación, Tecnología y TelecomunicacionesGovernment (executive) · CR
Lead issuer
Legal forceSoft law
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

National governmentGeneral publicPublic sector bodiesCompaniesResearchers and academics

Policymakers, public institutions, researchers, businesses, and citizens interested in the governance and development of artificial intelligence in Costa Rica.

Sectors
Cross-sectorPublic administration · public sectorResearch and science · research and development

What the document contains

What's covered

The document covers the strategic vision, ethical guidelines, risk classification, and action plan for adopting artificial intelligence in Costa Rica. It addresses mechanisms for fostering research, public administration modernization, workforce reskilling, infrastructure enablers, and international cooperation.

What's missing

Binding legislative enforcement or statutory penalties for non-compliance are not included, as the document functions as a public policy strategy.

Key takeaways
  • The strategy prioritizes human-centered artificial intelligence that respects human rights, fundamental values, and social equity.
  • It adopts a four-tier risk classification framework modeled after international standards to evaluate and mitigate AI risks.
  • Seven thematic axes guide public intervention, spanning ethics, territorial articulation, R&D&i, smart government, talent training, digital infrastructure, and international leadership.
  • The strategy emphasizes closing the digital divide and supporting the transition to a new productive and labor model through targeted capacity building.
Principles it states
Peace and human dignityHuman oversightTransparency and ExplainabilityEquity and non-discriminationAccountabilitySustainability and well-beingSecurity, cybersecurity, and information protection
Outline
· Presentation
· Message from the Minister
· Message from the Deputy Minister
· Executive Summary
· Introduction
· Human-Centered AI
· Guiding Principles
· Strategic Risk Management
· Key Stakeholders
· Enabling Mechanisms
· Strategic Framework
· Axes and Lines of Action
· Glossary
· References
Issued23 August 2024
Length22,970 words · 80 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

4/5

Clear responsibility for AI outcomes

The principle of accountability stipulates that all stakeholders involved in the lifecycle of systems utilizing AI must assume ethical and legal responsibility for their operations and impacts.

Guiding Principles

screening score · 2026-10-23

Fairness

4/5

Non-discrimination and equitable treatment

AI systems must be designed and operated to promote inclusion and avoid perpetuating or creating new forms of discrimination.

Guiding Principles

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

The principle of human oversight focuses on maintaining ultimate human control over systems that use AI, ensuring that ethical and legal responsibility can always be clearly attributed

Guiding Principles

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

establish standards for input data and databases to be used and ensure that data usage complies with Law 8968, Protection of Individuals Regarding the Processing of Their Personal Data.

Enabling Mechanisms

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Entities developing and implementing AI systems must provide comprehensible, context-appropriate information that explains both the capabilities and limitations of AI.

Guiding Principles

screening score · 2026-10-23

Enforcement

3/5

Consequences and compliance mechanisms with real force

The framework proposes conducting regular audits, both internal and external, to verify compliance with established standards.

Strategic Risk Management

screening score · 2026-10-23

Impact Assessment

4/5

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

High Risk: Requirement for detailed impact assessments before implementation, mandatory human oversight, third-party audits, and clear accountability mechanisms.

Strategic Risk Management

screening score · 2026-10-23

Topics

artificial_intelligence national_strategy ethical_ai risk_management digital_transformation