Designing AI Usage Policies as System Controls

AI policy discussions can become too abstract if students only debate whether a tool is allowed or prohibited. A stronger classroom approach is to frame policy as a system control: a repeatable rule, supported by evidence, that reduces risk while preserving useful work.

This helps learners connect Artificial Intelligence with Information System Management instead of treating policy as a separate administrative document.

Control design questions

Ask students to define:

• which AI-supported task the policy covers
• the risk the control is meant to reduce
• who owns the decision
• what evidence must be kept
• what students or staff may do without approval
• what requires disclosure, review, or escalation
• how the control will be checked after deployment

The result should be small enough to use in a real course project, not a long policy that nobody reads.

Classroom activity

Give each group a scenario such as AI-assisted report drafting, chatbot support for student services, or AI-generated code in a systems project. Each group writes one control statement, one evidence requirement, and one review question.

Then compare whether the proposed control is clear, auditable, and realistic for the people expected to follow it.

Learning outcome

Students learn that responsible AI adoption is not only about choosing tools. It is about designing governance practices that make AI use visible, reviewable, and improvable.