What Is an AI Acceptable Use Policy?
An AI Acceptable Use Policy (AUP) sets clear guidelines for how employees, contractors, and partners can responsibly use AI tools and agents at work, including what's approved, what data can be shared, and who's accountable when something goes wrong. A useful policy goes beyond a blanket approval or ban. Without one, AI adoption tends to happen anyway, just informally: employees sign up for tools independently, introducing Shadow AI along with unverified outputs and unmanaged data exposure.
Because employees keep adopting new AI tools faster than most organizations can formally review them, a policy like this is only effective if it's revisited regularly rather than published once and left alone.
What an Effective AI AUP Includes
- Scope and definitions — which stakeholders and AI systems the policy covers, ideally aligned with recognized frameworks (NIST, ISO, MITRE, OWASP).
- Acceptable and prohibited uses — a clear line between what's allowed and what isn't, not just a vague "use AI responsibly" statement.
- Data management responsibilities — what data can and can't be shared with which tools.
- Incident response procedures — what happens when something goes wrong, who's notified, and how.
- Compliance and enforcement — defined consequences for violations, so the policy has actual teeth.
