How it works
An AI use policy is a set of rules that explains how people in an organization can use artificial intelligence tools and systems. It defines permitted uses, limits, responsibilities and procedures for situations involving data, content or important decisions.
A useful policy starts with the organization's context. It identifies which tools are approved, what types of information can be entered and which tasks require human review. It can also set rules for building in-house systems, evaluating vendors, logging changes and communicating incidents.
Rules need to be understandable and actionable. "Use AI responsibly" does not explain whether someone can send customer data to an external service, publish generated text without review or use a model to support a decision. The policy should clarify what to do in those cases and who to ask when in doubt.
Implementation includes training, communication and periodic review. A policy forgotten in a folder does not guide day-to-day behavior. The organization should name owners, provide practical examples and update the rules when tools, risks, processes or applicable obligations change.
Practical example
An agency allows its team to use AI to generate headline ideas and summarize public material, but prohibits entering passwords and customers' personal data into tools without approval. Before publishing any text, the responsible person must verify facts, usage rights and suitability for the client.
For an internal prototype, the rule may require fictional data or properly authorized data, plus a security review before connecting to a real database. If a tool is not approved, the employee consults the responsible area instead of creating a personal account and uploading work files.
The policy can also explain how to report an accidental exposure of information. The process should state what data to collect, who to notify and how to contain the problem, without encouraging the person to delete evidence needed for investigation.
These rules do not need to be identical for all departments. A team that handles public information can have fewer restrictions than one that processes confidential data. Controls should match the type of information and the potential impact of use.
What it's for
The policy helps reduce ad hoc use, protect information and align AI tools with the organization's processes. It also gives employees a clear path to experiment with approved features without relying on individual interpretations of sensitive topics.
It does not replace laws, contracts, security assessments or corporate governance. It is internal guidance that must be compatible with the organization's obligations and vendor terms. When there is legal or regulatory doubt, the team should seek qualified guidance.
Start with a short version that covers authorized tools, prohibited data, output review, high-impact uses and a questions channel. Include examples from real work, name owners and state the date and review process. Adjust the policy based on questions and incidents observed.
A balanced policy is not just a list of prohibitions. It also describes how to use AI acceptably, what controls protect users and customers and how to request approval for new cases. This clarity makes responsible innovation easier and makes the rule more likely to be followed.