Workplace AI Use Policies: From Written Rules to Operating Decisions

Write for the decisions employees actually make

A useful policy tells an employee what they can do, what needs review and where to ask a question. Begin with the organization’s work: drafting, analysis, customer communication, software development or decisions affecting people.

Do not rely on a list of product names alone. A service can include several features with different data and decision implications. Identify the approved use as well as the approved tool.

Make data boundaries concrete

Identify the information employees may enter and the information requiring a different approved process. Connect those choices to the organization’s existing confidentiality, security, privacy and contractual responsibilities.

Provide examples appropriate to the work. A fictional employee preparing a general outline may use non-sensitive material, while an employee analyzing candidate records needs the organization’s approved handling process. Do not imply that a generic policy overrides an existing obligation.

Define the human decision

Explain when an output needs review, who performs it and what they should check. A direction to “use human oversight” is incomplete if the reviewer lacks relevant information or authority to reject an output.

For material decisions, identify what evidence supports the output, relevant limitations and the process for raising a concern. Record decisions and follow-up where appropriate. An employee should know how to pause a use that falls outside the approved purpose.

Treat employment uses as a distinct workflow

AI used in screening, evaluation, scheduling or other employment decisions can raise different questions from a general writing assistant. Identify the applicable activity and jurisdiction and obtain the appropriate review.

In Illinois, distinguish the enacted HB 3773 provision from withdrawn IDHR procedural proposals. A policy should not label unadopted notice timing or retention details as mandatory. See the Illinois documentation reference and rulemaking source record.

Make exceptions and changes visible

Give employees a route to request a new use or tool. Capture the business purpose, data involved, supplier, expected benefit, people affected and review owner. Record the decision, its scope and any conditions.

Review a use when its purpose, configuration or significant dependency changes. A prior approval for one workflow is not automatically an approval for every future feature. Keep the current policy, approved-use list and decision record connected.

A practical rollout sequence

1. Inventory representative uses and identify the policy owner.
2. Draft clear boundaries and examples for the organization’s work.
3. Review the policy against existing obligations and operating processes.
4. Explain where employees can find approved uses and ask questions.
5. Test the process with fictional examples, including an exception and a concern.
6. Assign review triggers and a method for communicating changes.

NIST’s voluntary framework and Playbook can help structure these questions. They do not prescribe one universal policy. NIST source.

The measure of a useful policy is whether people can act on it and whether the organization follows the process it describes. A signed acknowledgement alone does not establish effective implementation.