AI Glossary

AI Policy

What it means, why it matters to your business, and where it shows up in a real build decision.

In plain terms

An AI policy is a company's written rules for how AI may and may not be used, covering data, approved tools, and human oversight. A clear policy is what lets a team move fast without stepping on legal or reputational landmines. It turns AI from a free-for-all into a managed capability.

A simple analogy

An AI policy is the equivalent of an acceptable use policy for company devices. It does not stop every misuse, but it sets clear rules, removes ambiguity, and creates a documented basis for accountability.

What it looks like in practice

A media company publishes a one-page internal AI policy: which tools are approved, what data cannot enter AI tools, how AI-generated content must be disclosed, and who to contact with questions. Adoption of approved tools doubles.

When to use it

Write the policy before employees need to make their own judgment calls. A clear policy in place before an incident is an asset. A policy written after an incident is a defense.

When to avoid it

An AI policy without enforcement and approved alternatives is security theater. The policy is the starting point; the approved tool stack and training are what make it operational.

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