As copious amounts of data are funnelled into obscure repositories for analysis by publicly accessible AI systems, questions arise regarding who is actually looking at them?
The concern extends beyond personal data, encompassing critical data assets such as product specs, design plans, marketing strategies, segmentation plans etc etc. Who has access to this data and what safeguards exist to prevent its misuse or exploitation?
A couple of articles back, emphasis was placed on the significance of data literacy in The Caribbean, highlighting the importance of leveraging the available data while pinpointing the challenges. This underscores the imperative for robust frameworks ensuring the responsible handling and utilisation of data across diverse contexts; because there is nothing to stop those handling this data now from making good use of it, for themselves.
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