Your AI governance strategy may be stuck in the desktop era
A Fast Company piece argues that many organizations are applying AI governance frameworks built for traditional desktop software to a generation of AI tools that operate very differently, suggesting current oversight approaches may be structurally mismatched to the risks involved.
Why this matters: Most AI governance work was designed when software sat still and waited for a human to click something. AI systems now act, infer, and connect to data on their own. Rules written for the old model do not automatically cover the new one. If your governance framework cannot account for how a tool actually behaves, it is not really governance. It is paperwork. The gap between what organizations think they are controlling and what is actually happening is where real harm tends to show up.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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