Jamaica's national A.I. policy, made explorable.
The National Artificial Intelligence Task Force set out 9 policy pillars and 39 SMART recommendations to position Jamaica at the forefront of global digital transformation — while responsibly managing the risks. Filter, search and trace every recommendation across a ten-year horizon.
- 9
- Policy pillars
- 39
- Recommendations
- 17
- Task force members
- 10
- Year horizon
The guiding vision
“To empower Jamaica's sustainable economic development through ethical A.I. innovation, enhanced public engagement and cultural preservation, while ensuring fairness, privacy and security.”
Nine pillars
Where the policy applies pressure
A.I. for Innovation & Economic Growth
Leverage A.I. research to spur industry innovation and the creation of more sophisticated value chains.
7 recommendations · 5 challenges
Education and Workforce Development
Prepare Jamaicans to integrate into an AI-enabled global workforce.
4 recommendations · 4 challenges
Public Awareness and Sensitization
Ensure Jamaicans understand, adopt and can take advantage of the benefits of A.I.
2 recommendations · 3 challenges
A.I. Infrastructure and Technology
Expedite the creation of infrastructure to support A.I. adoption and expansion in Jamaica.
4 recommendations · 5 challenges
International Cooperation in A.I.
Establish and maintain global partnerships that can be leveraged to ensure Jamaica's global and regional positioning.
4 recommendations · 4 challenges
Legal & Regulatory Frameworks for A.I.
Strengthen Jamaica's legal and regulatory framework to guide and grow ethical A.I. practices in Jamaica.
5 recommendations · 4 challenges
Government and Industry Collaboration
Create avenues for partnership between, and among, government and private sector to better monitor impact and needs for greater A.I. integration.
6 recommendations · 3 challenges
Ethical Foundations of A.I.
Ensure Jamaica's A.I. activities are grounded in ethical standards.
4 recommendations · 3 challenges
Cohesive A.I. Framework
Clearly outline a comprehensive, accountable path to successfully achieving a cohesive A.I. framework.
3 recommendations · 5 challenges
Implementation horizons
Sequenced across a decade
Short Term
1–3 years
21
Foundations — guidelines, awareness, curriculum and coordination.
Medium Term
4–6 years
11
Build-out — funding, infrastructure, partnerships and pilots.
Long Term
7–10 years
7
Institutionalisation — authorities, standards and global positioning.
Background & context
Grounded in global and regional practice
The Task Force conducted a comparative analysis of A.I. policy frameworks from countries recognised as leaders in A.I. policy development, and drew on the UNESCO Caribbean A.I. Policy Roadmap for regional context — the socio-economic realities of a Small Island Developing State.
Read the ethical foundations →- Workforce Adaptation
- Accountability and Transparency
- Data Governance and Privacy
- Risk Assessment and Management
- Ethical and Human-Centric Considerations
- International Cooperation
- Research and Development (R&D)
- Investment in A.I.
- Cybersecurity