Final Report: Toward Harmonized AI Policies and Recommendations for the Caribbean
This report by the CTU Caribbean AI Task Force establishes a foundational advisory framework and strategic recommendations for harmonizing AI policies across the Caribbean. It addresses the region's structural disparities, digital connectivity paradox, data governance gaps, and labor-market exposure while outlining seven key policy pillars. Ultimately, the report provides CARICOM member states with a roadmap to transition from passive consumers to active rule-makers in global artificial intelligence governance.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This report is for Caribbean governments, regional institutions, and development partners seeking to coordinate and implement harmonized AI policies across CARICOM member states.
What the document contains
The report addresses the regional AI landscape, connectivity realities, governance deficits, labour-market exposures, and provides targeted recommendations across seven strategic pillars spanning data infrastructure, ethics, economic innovation, skills, public sector adoption, disaster resilience, and international trade.
The report explicitly does not provide a costed implementation plan, detailed budget allocations, specific financing instrument designs, or a single uniform legislative model to be adopted identically across all member states.
- The Caribbean faces a connectivity paradox with high internet usage but fragile, externally dependent digital infrastructure and low domestic value capture.
- CARICOM is the only major regional bloc without a binding collective AI governance instrument, creating a critical regional coordination gap.
- The report establishes seven policy pillars covering data infrastructure, governance, economic transformation, talent, public sector AI, climate resilience, and global interoperability.
- Effective regional governance must be anchored in existing international norms like the UNESCO Recommendation on the Ethics of AI rather than duplicating global frameworks.
- Addressing the implementation gap requires staged research-to-commercialization pathways, robust data protection legislation, and pooled regional resources.
· Executive Framing · 1. Introduction · 2. The Caribbean AI Landscape · 3. The Governance Deficit · 4. Pillars & Policy Recommendations · 5. The Task Force
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
the framework should establish minimum regional standards for algorithmic transparency, risk classification, and public-sector AI procurement
4. Pillars & Policy Recommendations
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
including algorithmic bias, socioeconomic exclusion, and the erosion of information integrity are distributed universally
Executive Framing
screening score · 2026-10-23
Human Dignity
1/5Respect for the inherent worth of persons
Cultural Flourishing & Child Safety Examining the long-term cognitive and cultural impacts of continuous human-AI interaction
1. Introduction
screening score · 2026-10-23
Human Oversight
1/5Humans remain in control of consequential decisions
allow employees to concentrate on functions requiring human judgement and decision-making.
Caribbean AI Landscape
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
The framework should establish minimum regional standards for algorithmic transparency, risk classification, and public-sector AI procurement
4. Pillars & Policy Recommendations
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Commitments frequently remain aspirational, lacking the costed roadmaps, institutional ownership, legislative sequencing, and monitoring mechanisms
3. The Governance Deficit
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
the regional governance framework should require AI systems deployed in or serving the Caribbean to be assessed for disparate performance and impact
4. Pillars & Policy Recommendations
screening score · 2026-10-23