AI Ethics & Regulation in the Caribbean
AI ETHICS & REGULATION IN THE CARIBBEAN
This presentation discusses AI ethics and regulation in the Caribbean, examining key ethical considerations such as transparency, bias, privacy, accountability, economic displacement, and content attribution. It outlines approaches for national-level facilitation of safe and ethical AI through trust, stakeholder involvement, public and private sector roles, and structured governance plans.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This is for policymakers, regulators, and stakeholders interested in AI ethics and governance in the Caribbean.
What the document contains
The presentation covers ethical considerations for AI, specific challenges like bias and economic displacement, and a structured regulatory and governance framework for the Caribbean region.
It does not provide binding statutory laws or a fully enacted regional legislative text, serving instead as an overview presentation.
- AI adoption in the Caribbean requires careful consideration of ethical issues including transparency, bias, privacy, and accountability.
- Trust is a core enabler for AI uptake, economic growth, and the protection of citizens' rights.
- Public sector roles include developing and amending legislation, adopting frameworks, and empowering oversight agencies.
- The private sector, education institutions, and labour representatives must actively participate in governance structures and training.
· Ethical Considerations · Regulatory Approach · Structured Governance Plan
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
Autonomous AI systems can make decisions without human intervention, when something goes wrong: ▪ Who is responsible? ▪ Who is accountable? ▪ Who provides redress?
ETHICS: ACCOUNTABILITY
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
Are we monitoring for AI bias as part of our consumer protection? How do we identify and address biases throughout the lifecycle?
ETHICS: BIAS
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
3/5Humans remain in control of consequential decisions
Autonomous AI systems can make decisions without human intervention, when something goes wrong
ETHICS: ACCOUNTABILITY
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
AI systems can collect and analyze vast amounts of data, ▪ Is personal data being used to train AI?
ETHICS: PRIVACY
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
AI decision making processes are generally invisible to the end consumer, ▪ how can we understand how the decisions are made?
ETHICS: TRANSPARENCY
screening score · 2026-10-23
Enforcement
3/5Consequences and compliance mechanisms with real force
Improvements Risk Mitigations Prosecution
HOW DO WE GET THERE: STRUCTURED GOVERNANCE PLAN
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
Certifications Assessments Audits Measurements & Metrics Public Feedback & Issues
HOW DO WE GET THERE: STRUCTURED GOVERNANCE PLAN
screening score · 2026-10-23