AI Acceptable Use Policy for Employees: The 12 Sections, Sample Clauses, and a Rollout Plan

Updated October 21, 2026.

Short answer: an AI acceptable use policy tells employees which AI tools they may use for work, what information may never go into them, who must review AI output, and what happens when the rules are broken. A workable policy has 12 sections: purpose, scope, definitions, approved tools, prohibited uses, data rules, human review, disclosure, intellectual property, AI in employment decisions, training and reporting, and enforcement and review. Keep it to two or three pages, name an owner, and have legal or compliance review it before rollout. HRStak's AI Usage Policy Generator drafts one from your industry, size, risk tolerance and the roles that use AI, for HR to review.
Diagram of the AI Acceptable Use Policy guide in 7 parts: What is an AI acceptable use policy?; Do you need an AI policy if you already have an acceptable use policy?; The 12 sections of an AI acceptable use policy; Sample clauses you can adapt; and more.
Diagram: the 7 parts of this guide. Original HRStak diagram.

What is an AI acceptable use policy?

An AI acceptable use policy (also called an AI usage policy or generative AI policy) is the workplace rule that governs how employees use artificial intelligence tools such as chatbots, writing assistants, coding assistants and image generators at work. It sits next to your existing acceptable use policy for company systems, which usually covers devices, email and internet use but says nothing about pasting customer data into a chatbot.

The policy exists for three reasons: to stop confidential and personal data leaving the company through AI tools, to make sure a person stays accountable for anything AI produced, and to give employees clear permission to use the tools that are approved. That last point matters. A policy that only prohibits pushes AI use into personal accounts where you cannot see it.

Do you need an AI policy if you already have an acceptable use policy?

Usually yes. A traditional acceptable use policy controls access to systems. AI raises different questions: whether information typed into a third party model is a disclosure, who owns the output, whether AI may help with decisions about people, and when customers or colleagues must be told AI was used. You can add an AI section to the existing policy or write a standalone one. Most companies choose standalone because the rules change faster than the rest of the handbook.

The 12 sections of an AI acceptable use policy

#SectionWhat it answers
1PurposeWhy the policy exists and that the company supports responsible AI use
2ScopeWho it covers (employees, contractors, temps) and which tools and devices
3DefinitionsWhat counts as AI, generative AI, confidential information and personal data
4Approved toolsWhich tools and account types are allowed, and how to request a new one
5Prohibited usesWhat AI may never be used for, regardless of tool
6Data rulesWhich categories of information may never be entered into an AI tool
7Human reviewWho must check AI output before it is sent, published or relied on
8DisclosureWhen employees must say that AI was used
9Intellectual propertyOwnership of output and respect for third party rights
10AI in employment decisionsLimits on AI in hiring, performance, discipline and pay decisions
11Training and reportingRequired training, and how to report a mistake or a data exposure
12Enforcement and reviewConsequences, the policy owner and how often it is updated

Sample clauses you can adapt

The clauses below are starting language, not legal advice. Adapt them to your tools, your industry and the laws where you operate, and have counsel review the final policy.

Approved tools

Employees may use only the AI tools listed in the Approved AI Tools register maintained by [owner], and only through company provided accounts. Personal AI accounts may not be used for company work. To request a new tool, submit the request to [owner], who will review its data handling, security and terms before approval.

Data rules

Employees must not enter the following into any AI tool unless the tool is specifically approved for that category of data: personal information about employees, candidates or customers; health, medical or accommodation information; government identification numbers; financial account details; information subject to a confidentiality agreement; unreleased financial results; source code marked confidential; and legal advice or investigation materials. Where an example is needed, replace names and identifying details with placeholders.

Human review

AI output is a draft. The employee who uses an AI tool is responsible for the accuracy, quality and appropriateness of anything they send, publish or rely on, and must review it before use. Output that states legal, financial, medical or safety information must be checked against an authoritative source.

AI in employment decisions

AI tools may be used to draft and organize material related to hiring, performance, discipline, compensation and termination. AI tools may not be used to make, or to substantially decide, any of those outcomes for an individual. Any use of a tool that scores, ranks or screens candidates or employees requires prior approval from HR and legal, including any bias audit, notice or assessment required by law.

Disclosure

Employees must disclose AI use when a customer, regulator or contract requires it, when content is published under the company's name and AI generated a substantial part of it, and whenever a manager or colleague asks.

Prohibited uses

AI tools may not be used to create content that is unlawful, harassing, discriminatory or deceptive; to impersonate a real person; to monitor employees without HR and legal approval; to circumvent security controls; or to generate content that infringes intellectual property.

Choosing your risk tolerance

The biggest decision in an AI policy is how permissive to be. Three postures cover most companies:

PostureWhat it looks likeFits
ConservativeShort approved list, approval for every new use, no client or employee data in any AI toolHealthcare, financial services, legal, government contractors
ModerateApproved business accounts, clear banned data list, review before external useMost companies with 50 to 1,000 employees
ProgressiveBroad approved list, teams encouraged to experiment, controls focused on data and disclosureSoftware, agencies and teams where AI is part of the product

HRStak's AI Usage Policy Generator asks for exactly these inputs (industry, company size, risk tolerance and the roles using AI) and drafts a policy with guidelines, guardrails and acceptable use standards to match. Saved AI Usage Policy drafts can go through HRStak's policy approval queue so a team admin approves or rejects them with a decision note before rollout. The approval records the handoff; it does not replace legal review.

Laws that shape an AI policy in 2026

No single law requires an AI acceptable use policy for every employer, but several shape what yours should say, especially section 10:

  • New York City Local Law 144 requires a bias audit and candidate notice before using automated employment decision tools for hiring or promotion in the city.
  • The EU AI Act treats AI used in recruitment, promotion, task allocation and monitoring of workers as high risk, with duties that apply in stages.
  • The Colorado AI Act places duties on deployers of high risk AI systems used for consequential decisions, including employment.
  • The Illinois AI Video Interview Act sets notice and consent rules for AI analysis of video interviews.
  • Privacy laws such as the California Consumer Privacy Act as amended by the CPRA can apply to employee and candidate personal information you put into AI tools.

This is general information, not legal advice. Laws in this area change quickly, so assign the policy owner to check them at each review.

How to roll out an AI policy

  1. Inventory current use. Ask teams which AI tools they already use. You will find more than you expect, and the policy should cover reality.
  2. Pick the approved tools first. A policy without an approved option sends people back to personal accounts.
  3. Draft, then review. Draft the 12 sections, then route the draft through legal or compliance and IT security.
  4. Announce it in plain language. A short email that says what is allowed, what is banned and who to ask. HRStak's Internal Announcement Writer drafts this from the policy.
  5. Train and collect acknowledgments. Fifteen minutes with examples beats a long document nobody reads.
  6. Review every six months. Tools, contracts and laws change faster than the rest of your handbook.

Example: an 8 week rollout at a 120 person company

  1. Week 1: a 5 question survey finds 9 different AI tools in use across 6 teams.
  2. Week 2: IT approves 2 business accounts and HR picks a moderate posture.
  3. Weeks 3 to 4: HR drafts the 12 sections and sends them to counsel and IT security for review.
  4. Week 5: a 150 word announcement goes out with the approved tools and the banned data list.
  5. Weeks 6 to 8: every employee completes a 15 minute training and acknowledges the policy; the owner sets the next review for 6 months later.

For the general method behind any workplace policy, see HRStak's policy writing guide; for where the AI policy sits in the wider handbook, see the employee handbook template. For the bigger picture of AI across HR, start with how to use AI in HR, and if your team is mostly using a general chatbot today, read ChatGPT for HR. To draft the policy itself with HR review, see the HR AI tools in HRStak, from $249 a month on self serve plans.

Frequently asked questions about AI acceptable use policies

What should an AI acceptable use policy include?
A complete AI acceptable use policy covers 12 areas: purpose, scope, definitions, approved tools, prohibited uses, data rules, human review, disclosure, intellectual property, AI in employment decisions, training and reporting, and enforcement and review with a named owner.
Is an AI usage policy the same as an AI acceptable use policy?
In practice yes. AI usage policy, AI acceptable use policy, generative AI policy and workplace AI policy are used interchangeably for the rule that governs how employees use AI tools at work.
Can employees use ChatGPT at work?
That is a decision for the policy. Many companies allow approved business accounts of tools such as ChatGPT with a banned data list and a human review rule, and prohibit personal accounts for company work. Some regulated employers allow only specific tools or none.
Who should own the AI policy?
Usually HR owns the policy text and rollout, with IT or security owning the approved tools list and legal or compliance reviewing it. Name one person as the owner so updates actually happen.
Is an AI acceptable use policy legally required?
Not universally. But laws such as New York City Local Law 144, the EU AI Act, the Colorado AI Act and privacy laws create obligations that a policy helps you meet, particularly around AI in employment decisions and personal data. This is general information, not legal advice.
How often should an AI policy be updated?
Review it at least every six months, and whenever you add a new AI tool, sign a contract with AI terms, or a law that affects you takes effect.
Can AI write an AI policy?
AI can produce a strong first draft quickly. HRStak's AI Usage Policy Generator drafts one from your industry, company size, risk tolerance and the roles that use AI. The draft still needs your facts and a legal or compliance review before rollout.

Sources & references

  • New York City Department of Consumer and Worker Protection, automated employment decision tools, nyc.gov
  • European Commission, EU Artificial Intelligence Act, digital-strategy.ec.europa.eu
  • Colorado General Assembly, Consumer Protections for Artificial Intelligence, leg.colorado.gov
  • Illinois General Assembly, Artificial Intelligence Video Interview Act, ilga.gov
  • California Privacy Protection Agency, CCPA and CPRA, cppa.ca.gov
  • HRStak Brand Facts, hrstak.com/brand-facts