As a Jamaican engaged in strategic AI development and implementation on the global stage, I was very happy to see Jamaica’s National Artificial Intelligence Policy Recommendations come across my desk last weekend. I felt compelled to offer my perspective on what it means, and what more may be considered.

Jamaica’s new AI policy recommendations, rooted in our national Vision 2030, is a commendable step. It demonstrates an impressive commitment to ethical principles, multidisciplinary collaboration, and a clear-eyed analysis of our strengths and weaknesses. Yet, as I ponder its potential on the world stage, I believe there are additional crucial ideas that may be considered — ideas drawn from leading research at institutions like Massachusetts Institute of Technology (MIT), Stanford, UC Berkeley, University of Massachusetts Amherst, and University of Chicago — that could further propel Jamaica, and, by extension, the Caribbean into a position of global culture-specific AI leadership.

A Solid Foundation

The recommendations already excel in several areas. It aligns with Jamaica’s long-term developmental goals and is bolstered by a robust, multidisciplinary task force that unites government, academia, and industry. As noted in The Global Landscape of AI Ethics Guidelines by Jobin, Ienca, and Vayena (2019), such collaborative models are essential in today’s rapidly evolving technological landscape. The recommendations’ strong emphasis on ethical AI — rooted in transparency, accountability, and adherence to international frameworks like UNESCO’s guidelines — ensures that our journey into AI will not compromise our values or our people.

Furthermore, the inclusion of a comprehensive SWOT analysis highlights Jamaica’s strategic geographic location, vibrant cultural heritage, and youthful, tech-savvy population, while candidly addressing challenges such as digital divides, skill gaps, and infrastructural deficits.

Ideas from the Cutting Edge

However, to truly leverage AI for national and regional transformation we must look beyond the recommendations’ current framework and incorporate additional, research-backed strategies:

1. Adaptive Regulatory Sandboxes for Iterative Learning

Drawing from insights in The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Michael Kearns and Aaron Roth (2019) and based on my first-hand experience in my time at MIT — where research themes consistently emphasise transparency, iterative testing, and human-centred AI — I see immense value in establishing regulatory sandboxes. These controlled environments allow for real-world testing of AI applications — particularly in sensitive areas like healthcare and finance — enabling policy-makers to refine regulations based on data-driven insights while safeguarding consumer interests.

2. Interdisciplinary Education Programmes That Blend Humanities and STEM

Research from Stanford’s Institute for Human-Centred AI, as outlined in The AI Index Report 2023: Trends, Ethics, and Global Impact (Stanford Institute for Human-Centred AI, 2023), underscores the benefits of merging technical training with ethical and cultural education. Developing interdisciplinary curricula that integrate STEM with humanities would prepare our workforce not only with technical skills but with the broader contextual understanding necessary for responsible AI innovation — a critical asset for preserving our unique cultural narrative.

3. Sustainable Digital Infrastructure Powered by Renewable Energy

Drawing on broader themes from Berkeley research on sustainable AI — as exemplified by studies such as Green AI by Schwartz, Dodge, Smith, and Etzioni (2020) and further informed by the study
Energy and Policy Considerations for Deep Learning in NLP by Emma Strubell, Ananya Ganesh, and Andrew McCallum (2019) — UC Berkeley’s work highlights the importance of designing digital infrastructure that is both scalable and sustainable. Notably, the latter study, affiliated with University of Massachusetts Amherst where Emma Strubell and Andrew McCallum are professors in the School of Computer Science, reinforces the need to consider the environmental and energy impacts of deep learning systems. For the Caribbean, where environmental and resource challenges are ever-present, investing in decentralised digital hubs powered by renewable energy could bridge the digital divide and foster eco-friendly connectivity, especially in our rural communities.

4. Community-Based Apprenticeships and Local Innovation Incubators

The University of Chicago’s research on labour market transitions — as discussed in Robots and Jobs: Evidence from US Labor Markets by Acemoglu and Restrepo (2020) — illustrates the power of community-centred vocational training in adapting to technological change. By launching apprenticeship programmes that connect local communities with AI start-ups, we can nurture home-grown talent, reduce our dependency on external technologies, and foster a robust local innovation ecosystem.

5. Cultural AI Initiatives for Global Competitiveness

Finally, emerging research such as Deep Learning in Cultural Heritage: A Review by R Sanchez, et al (2021) suggests that integrating cultural heritage into AI applications can create unique global value propositions. Initiatives that harness our local dialects, artistic expressions, and storytelling traditions could distinguish Jamaican products on the international stage while preserving and celebrating our cultural identity.

A Vision for the Future

While the recommendations already lay a strong foundation for Jamaica’s foray into AI, these additional ideas offer a pathway to not only overcome existing challenges but to transform them into competitive advantages. Adaptive regulatory sandboxes, interdisciplinary education, sustainable infrastructure, community-based innovation, and culturally informed AI initiatives are not merely enhancements, they are essential components for positioning Jamaica as a leader in responsible, innovative, culture-specific AI development.

By embracing these research-backed strategies we can ensure that our AI journey is not only aligned with global best practices but also tailored to our unique cultural, economic, and social landscape. In doing so, Jamaica — and indeed the wider Caribbean — can chart a course that is both ethically sound and globally competitive.

In an era where AI is reshaping our world, it is imperative that our policies are as dynamic and forward-thinking as the technologies they govern. Let us seize this opportunity to build a future where AI drives sustainable growth, preserves our rich cultural heritage, and secures our place on the global stage.

— Marlon Hylton is founder of Innov-8 Data Counsel & Innov-8 Legal Inc where he pioneers the integration of legal expertise and business strategy with advanced AI and technology. A former partner at a leading Canadian law firm, Hylton has earned accolades from Best Lawyers and Who’s Who Legal for transforming e-discovery and information governance through innovative analytics and AI