Some of the participants in the seven-week AI Foundations programme at the University College of the Cayman Islands. Front row, left, Lisa, Irene, back row, left, Professor Placide, Matthew, Marco.
By Eustache Placide
As artificial intelligence reshapes global economies, a UCCI training programme shows how Cayman can move from AI conversation to practical, ethical action, while keeping people at the centre of work.
Artificial Intelligence (AI) is often discussed in abstract terms, hailed as transformative while simultaneously feared as a threat to jobs. A recent series of articles by Professor Eustache Placide, published in the Cayman Compass, sought to move that conversation beyond hype and anxiety, examining AI through a Cayman-specific lens focused on ethics, workforce readiness, education, and governance. That public discourse has now translated into action through a seven-week AI Foundations training programme delivered at the University College of the Cayman Islands (UCCI).
One article in the series proposed a national AI roadmap for the Cayman Islands, emphasising phased adoption: building broad AI literacy, establishing ethical guardrails, encouraging applied use across sectors, and strengthening local human capacity. The UCCI training programme was intentionally designed as a direct response to that roadmap, turning ideas into practical, hands-on learning.
Participants represented a broad cross-section of the Cayman workforce, including professionals from human resources, finance, education, business ownership, and technical services. This diversity reinforced a central message of the series: AI is no longer confined to the technology sector but is increasingly embedded in everyday professional work across industries.
For many participants, foundational understanding was the programme’s most significant value. Learning how AI systems are trained, where bias can emerge, and what their limitations are helped demystify the technology. Rather than viewing AI as a job-replacement tool, participants came to see it as a productivity enhancer, one that can automate repetitive tasks and free up time for judgment, creativity, and human-centred work.
Applied learning was a defining feature of the programme. Through sector-specific labs, participants developed practical tools aligned with their professional contexts. One participant highlighted building a chatbot to manage frequently asked questions within their organisation. In contrast, others explored personal AI assistants to support research, writing, planning, and analysis, signalling that AI fluency is fast becoming a core professional skill.
For some, the programme helped overcome initial scepticism. Participants noted that fears about AI eliminating jobs softened after seeing colleagues use AI responsibly to improve writing, data analysis, presentations, and research. The course demonstrated that while AI will change how work is done, it is more likely to reshape roles than replace them.
Ethical AI use remained central throughout the programme. Participants were trained to critically evaluate AI-generated outputs, understand data responsibility, and apply human-in-the-loop decision-making. The emphasis was clear: AI should support human judgment, not replace accountability or professional expertise.
According to Professor. Placide, the programme represents an important step in operationalising the ideas discussed in the Cayman Compass series. “The goal was not simply to teach tools,” he said, “but to build understanding, responsibility, and confidence so professionals can engage with AI thoughtfully and ethically.”
The success of the training illustrates how public discourse, when paired with intentional education, can move a community from awareness to action. As AI continues to shape global economies, initiatives like the UCCI programme offer a locally grounded model for preparing Cayman’s workforce, one that demystifies AI, addresses legitimate concerns, and positions professionals to use the technology as an enabler rather than a threat.
Eustache Placide is a computer science and artificial intelligence professor at the University College of the Cayman Islands. The views and ideas expressed in this article are solely those of the author and do not necessarily represent the positions or policies of UCCI.
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