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

Amir Mohammed () and Sheikh Ahad Ahmad ()
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Amir Mohammed: University of the West Indies, Trinidad and Tobago
Sheikh Ahad Ahmad: University of the West Indies, Trinidad and Tobago

Insights into Regional Development, 2025, vol. 7, issue 1, 40-57

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 (search for similar items in EconPapers)
JEL-codes: O31 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouird:v:7:y:2025:i:1:p:40-57

DOI: 10.70132/w9385223236

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