National Artificial Intelligence Strategy of Panama
The National Artificial Intelligence Strategy of Panama provides an action-oriented blueprint for accelerating AI-enabled economic growth, productivity, workforce readiness, and investment. Structured around six core pillars, the strategy emphasizes digital infrastructure, human capital development, data governance, agile regulation, investment promotion, and sectoral AI applications. It aims to position Panama as Latin America's trusted hub for AI innovation and competitiveness.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Government officials, industry leaders, academic researchers, and civil society actors seeking to understand and participate in Panama's national AI development.
What the document contains
The document covers comprehensive policy frameworks for deploying AI across Panama, including energy and compute infrastructure upgrades, educational curriculum integration, data protection enforcement under Law 81, agile governance mechanisms, startup funding ecosystems, and domain-specific AI applications.
It does not provide binding statutory legislation or detailed technical audit protocols, leaving specific rule-making and standard enforcement dependent on future institutional actions and regulatory sandboxes.
- Panama aims to transition from a physical logistics connector into an intelligent digital nexus known as the Digital Canal.
- The strategy is organized around six pillars covering infrastructure, human capital, data security, governance, investment, and sectoral applications.
- The newly established National Applied Institute for AI (NAAII) acts as an agile execution catalyst rather than a rigid regulator.
- The framework promotes agile regulation through sectoral regulatory sandboxes and mandatory Ethical Impact Assessments for high-risk AI deployments.
- Strategic economic sectors like logistics, finance, agriculture, healthcare, and manufacturing are mobilized to drive demand-side AI adoption.
· Executive Summary · Introduction · Pillar I: Digital and Physical Infrastructure · Pillar II: Human Capital and Workforce Development · Pillar III: Data, Safety, and Security · Pillar IV: Governance and Ethics · Pillar V: Investment Promotion, Entrepreneurship and International Partnerships · Pillar VI: AI Application in Strategic Economic Sectors · Implementation Roadmap · Tabular Summaries · Glossary of Terms
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
Citizens must have the right to know if their data is being used to train a model and to opt-out. ANTAI will be strengthened—normatively, institutionally, budgetarily, and technically—to oversee these protections
5.1 Data Governance and Legal Foundations
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
The strategy prioritizes education and upskilling to ensure that the benefits of automation are broadly shared across all population segments.
2.4 Guiding Principles and Methodology
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Create and maintain a publicly accessible AI Register that lists all government AI systems, detailing their purpose, data sources, and Ethical Impact Assessment ratings.
8.7 Government Operations
screening score · 2026-10-23