How do I create an AI acceptable use policy?
Quick Answer
Create an AI acceptable use policy by defining which AI tools are approved for business use, what data can and cannot be shared with AI systems, how AI outputs should be reviewed before use, and what responsibilities employees have when using AI. The policy should be practical, specific, and regularly updated as AI tools and capabilities evolve. Include clear examples to help staff apply the policy in daily work.
Summary
Key takeaways
- Specify which AI tools are approved and which are prohibited
- Define clearly what data can and cannot be used with AI tools
- Establish review requirements for AI-generated outputs
- Include practical examples and update the policy regularly
Essential Policy Components
Creating and Implementing the Policy
FAQ
Frequently asked questions
Banning AI tools is generally counterproductive. Staff will use them anyway through personal devices and accounts, creating shadow AI risks. A better approach is providing approved tools with appropriate safeguards and clear guidelines for their use.
Enforcement combines technical controls, such as approved tool access and data loss prevention, with management oversight and a culture of responsible use. Regular training, clear consequences for violations, and easy reporting of concerns support effective enforcement.
Review quarterly at minimum, and update whenever significant new AI tools are adopted, regulations change, or incidents reveal policy gaps. Communicate updates clearly to all staff and provide refresher training on significant changes.
Shadow AI occurs when staff use unapproved AI tools. Address it by providing easy access to approved alternatives, communicating why approved tools are safer, monitoring for unapproved tool usage through network controls, and creating a process for requesting new tools to be evaluated and approved.
A single core policy should apply organisation-wide, with role-specific appendices for departments with unique requirements. Legal teams may have stricter client data restrictions. Marketing teams may have broader content generation permissions. Keep the core principles consistent while allowing proportionate flexibility.
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