Shadow AI means AI tools that staff use for work when the organization doesn’t know about them or hasn’t approved them. It often happens through free personal accounts that someone signed up for on their own. For example, a volunteer coordinator might paste a donor list into a free chatbot to help write thank-you notes. The coordinator means well, but nobody else knows it happened.
Why it matters
The problem is not that people want help with their work. The problem is that your organization’s data ends up in tools whose settings, contracts and data retention nobody has checked. You may not know whether a tool keeps what staff type, for how long, or whether it uses that text for training (see training opt-out). Bans alone rarely fix this, because people keep using what helps them. It works better to offer approved tools that do the job and to ask staff, without blame, which tools they already use. A clear acceptable use policy helps too. When you talk to a vendor, ask how long they keep your data and who can see it. The lesson on picking AI tools your organization can trust walks through those questions.
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