Unlocking Hidden Truths: Why Ignoring Scientific Content Could Cost Us Everything
Together, these three issues point to a larger question about the next phase of enterprise AI and whether organisations are truly prepared to treat scientific content as infrastructure rather than just information.
That means recognising that the value of scientific literature lies not only in the information it provides, but also in how it is structured, interpreted, and governed. It also requires an understanding that content quality is inseparable from context. And it means accepting that permissions are not a downstream detail, but part of what makes AI use feasible in the first place and on an ongoing basis.
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