Artificial intelligence
AI governance is how a company settles who authorizes, who supervises and who answers for the artificial intelligence systems it uses.
In Enrico Giubertoni's articles it is a matter of architecture before compliance, and the recurring question runs like this: if the board asked today for undeniable evidence that AI adoption is a controlled asset, could management produce it? Whoever gives up on building it falls into AI governance paralysis, the direct consequence of working without a guide: nobody knows how far they are allowed to go, and the projects stand still.
An example
At a manufacturing company three departments use three different tools, none of them passed through legal and none of them has an owner. AI governance starts with one box on the org chart with a name inside it: the guidelines document comes afterwards, and without that name it stays on the desk.
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