Unlocking Hidden Truths: Why Ignoring Scientific Content Could Cost Us Everything
As AI adoption accelerates, content quality, usability, and permissions are now critical constraints, writes Adam Churchill
With the boom of AI, many organisations have invested heavily in tools, pilots, and other systems, but far less attention has been paid to the scientific and technical content on which those systems depend.
That is a mistake. In research contexts, one of the most real constraints on AI is often not adoption. It is whether the underlying content is sufficiently complete, usable, and has the relevant permissions to support meaningful outcomes.
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