As much as we enjoy the efficiencies arising from using generative AI, we continually have to be aware of the flaws inherent in the technology, the most glaring of which is bias that can result in a broad range of harms. We discuss the impact of the bias on society and outline steps Caribbean countries can take to begin to regulate AI.
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The narrative surrounding Artificial Intelligence (AI) often centres on its transformative power for economic growth. We hear of its potential to revolutionise industries, enhance productivity, and drive innovation across sectors such as agriculture, manufacturing, and finance. Although this focus is understandable, particularly in the context of developing countries striving for economic advancement, it risks overshadowing an equally crucial and perhaps more profound potential: AI’s ability to address pressing societal challenges and foster inclusive development.
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Back in the day, a well-worn catchphrase was, “There’s an app for that.” These days, there seem to be similar sentiments about AI: using AI will improve virtually everything. But is that the case? We highlight situations where it might be prudent not to use or rely on AI.
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In almost any discourse on artificial intelligence (AI) and natural language processing, the focus tends to be almost entirely on Large Language Models or LLMs. Moreover, these are the models with which most people are familiar. However, leveraging Small Language Models or SLMs could offer a greater strategic advantage to Caribbean countries and other developing regions.
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As data becomes one of the most valuable assets globally, the digital infrastructure that supports our societies must be secure, accountable, and adaptable. Open-source solutions are uniquely positioned to underpin this transformation. We highlight key benefits as well as some important considerations.
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