Received: 2024-11-18  |  Accepted: 2025-01-31  |  Published: 2025-03-30

Title

Development of AI in the Caribbean: algorithms, challenges and recommendations


Abstract

Artificial Intelligence (AI) has attracted special academic attention recently due to its potent capabilities across various application domains. Defined as the ability of computer systems to perform tasks with human-like intelligence, AI encompasses visual perception, speech recognition, decision-making, translation, and interpretation. Central to AI systems are algorithms that discover patterns and make predictions, eliminating the need for meticulous programming. The adoption of AI emerges as a pivotal tool, offering numerous advantages when harnessed and applied to detect anomalous data, which is an integral part of real-life systems. This article provides a concise overview, explicitly delving into popular AI algorithms employed in developing Anomaly Detection Systems (ADSs) applicable to Cyber-Physical Systems (CPSs), the state of AI and guidelines for adopting AI within the Caribbean region.


Keywords

Artificial Intelligence (AI), Cyber Physical Systems (CPSs), machine learning, cyber attacks, faults, disturbances


JEL classifications

O31 , O33


URI

http://jssidoi.org/ird/article/185


DOI


Pages

40-57


Funding


This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Mohammed, Amir
University of the West Indies, St. Augustine, Trinidad and Tobago https://sta.uwi.edu
Articles by this author in: CrossRef |  Google Scholar

Ahmad, Sheikh Ahad
University of the West Indies, St. Augustine, Trinidad and Tobago https://sta.uwi.edu
Articles by this author in: CrossRef |  Google Scholar

Journal title

Insights into Regional Development

Volume

7


Number

1


Issue date

March 2025


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 1433  |  PDF downloads: 1093

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