National Artificial Intelligence Strategy of Panama
The National Artificial Intelligence Strategy of Panama (AI 2036) outlines a comprehensive, action-oriented blueprint to transform Panama into Latin America's trusted hub for AI innovation and competitiveness. Organized around six operational pillars spanning infrastructure, human capital, data safety, governance, investment, and sectoral applications, the strategy aims to drive economic growth and productivity while maintaining strong ethical safeguards. Developed in partnership with Georgia Tech and commissioned by SENACYT, it covers the 2026-2036 period with triennial reviews.
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, researchers, and civil society actors seeking guidance on Panama's national AI development and adoption roadmap.
What the document contains
The document covers comprehensive national strategies for developing AI infrastructure, human capital training, data governance and cybersecurity, agile governance frameworks, venture investment promotion, and sectoral AI deployment across logistics, finance, agriculture, and healthcare.
Binding international treaty commitments or strict statutory legislation, as the document serves as an operational strategic framework rather than a codified law.
- Panama aims to transition from a physical logistics connector to an intelligent digital junction branded as Latin America's Trusted Hub for AI Innovation.
- The strategy is organized around six operational pillars addressing infrastructure, human capital, data security, governance, investment, and sector-specific applications.
- The National Applied AI Institute (NAAII) is established as an agile execution catalyst rather than a heavy-handed regulator.
- Strict enforcement of data protection laws and ethical impact assessments are prioritized to ensure trustworthiness and respect for ARCO rights.
- Sector-specific application roadmaps mobilize industries like logistics, finance, agriculture, and healthcare to drive productivity and economic development.
· 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
4/5Clear responsibility for AI outcomes
Individuals will be informed when a decision affecting them is based on an AI system, may request understandable explanations, and will have the possibility of having a person review or modify the decision.
6.2 Agile Regulation and Ethical Frameworks
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
The strategy explicitly aims at bridging the digital divide, ensuring that AI-enabled opportunities reach rural and indigenous communities, preventing the exacerbation of existing inequalities.
2.4 Guiding Principles and Methodology
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
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
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
Enforcement
3/5Consequences and compliance mechanisms with real force
ANTAI will be strengthened—normatively, institutionally, budgetarily, and technically—to oversee these protections in the processing of personal data by AI systems.
5.1 Data Governance and Legal Foundations
screening score · 2026-10-23