AI governance isn't a compliance checkbox you can tick off and forget about. It's an ethos that needs to be woven into the very fabric of how you approach AI in your organization.
By Russ Elmer, General Counsel, ServiceNow
AI governance. The term itself was only a blip on the corporate radar up until generative AI hit the scene. Today, it’s much more than a blip; it’s a strategic imperative—one that chief information officers (CIOs) ignore at their own (and their organization’s) peril.
But what do we mean by “AI governance”? To me, it means that our AI has been designed to do good and not harm, that we are watching our AI applications to check that they are working the way we intended them to, and that we continue to check that our AI continues to do good and not harm as it evolves.
According to ServiceNow’s 2025 Enterprise AI Maturity Index, AI is evolving faster than organizations can update their governance initiatives. Only 44% had formalized policies regarding data governance, privacy, and compliance this year, down from 47% last year.
It’s no surprise, then, that our 2025 Workforce Skills Forecast found the terms “observability” and “AI ethics” appearing more frequently in job ads. While these positions are in their nascency, we predict tangible growth as organizations start taking AI governance more seriously.
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