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"AI is only as trustworthy as the data it learns from." True, but it doesn't go far enough.
Trust in AI isn't just about data accuracy, it's about how that data is governed: who controls it, what it means, how it's defined, and whether its use respects the accountability structures that make government work. Most AI tools being deployed today were built on architectures that weren't designed with any of that in mind.
Federated data governance offers a different model: one where every dataset stays under the authority of the group that owns it, connected through shared semantics that define meaning, access, and policy. AI decisions become traceable back to their governed source. The black box opens. Oversight doesn't happen after the fact; it's built into the infrastructure.
👉 Read the full article on the Trading Post
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