{"id":4911,"date":"2024-06-28T13:00:00","date_gmt":"2024-06-28T13:00:00","guid":{"rendered":"https:\/\/www.brightmine.com\/us\/?post_type=resources&p=4911"},"modified":"2025-07-21T19:54:30","modified_gmt":"2025-07-21T19:54:30","slug":"ai-policy","status":"publish","type":"resources","link":"https:\/\/www.brightmine.com\/us\/resources\/hr-compliance\/policies-handbooks\/ai-policy\/","title":{"rendered":"10 things to include in your AI policy"},"content":{"rendered":"\n
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by Natasha K. A. Wiebusch<\/strong>, JD<\/strong>, Brightmine Marketing Content Manager<\/p>\n<\/div>\n\n\n\n

The future of work is AI-powered. Companies across the globe are making huge investments in AI, racing to integrate it and maximize productivity and innovation. However, many are still struggling to make it past the introductions.<\/p>\n\n\n\n

Organizations need to put systems in place to fully partner with AI<\/a>\u2026 and they should start with a solid AI policy. In this article, we cover the key AI policy provisions that will help usher in a new era of AI at work.<\/p>\n\n\n\n

Why creating an AI policy is paramount<\/h2>\n\n\n\n

Creating an AI policy is paramount because it provides employees and leaders with a roadmap for proper AI use in the workplace. It informs employees of what types of AI they can use and how they may (or may not) use it in their work.<\/p>\n\n\n\n

And though basic guidance is key, an effective workplace AI policy shouldn’t just set parameters and create disciplinary measures. It should also act as a catalyst for integration and innovation. Specifically, a well-drafted policy can help establish systems to integrate AI into daily work. It can also help the organization foster cross-functional collaboration and monitor AI tools to ensure quality and compliance.<\/p>\n\n\n\n

Additionally, AI policies help organizations manage the adoption of new types of AI. As organizations continue on their AI journey, they will need a safe and efficient way to purchase (or build) and integrate new AI tools. A policy can detail this process and establish a chain of approval.<\/p>\n\n\n\n

AI policy provisions you need<\/h2>\n\n\n\n

Developing an AI policy that covers everything you need it to cover can be daunting. You’ll need to have a deep understanding of how your organization intends to use AI now and in the future. To get you started, the following are policy provisions every AI policy should have:<\/p>\n\n\n\n

1. Scope<\/h3>\n\n\n\n

The scope of an AI policy is extremely important. To draft an appropriate scope, first, you’ll need to consider what types of AI you’d like the policy to cover. This is important because you’ll need to decide whether you’d like to leave room for AI growth. For example, you can either create a policy specific to chatbots, or you can create an all-encompassing policy.<\/p>\n\n\n\n

The scope should also help employees understand whether the policy covers AI built internally, provided by vendors or both. And, you may want to cover types of technology that are not AI, but still use data to draw insights. For example, you may decide that the policy should cover any use of advanced analytics tools.<\/p>\n\n\n\n

Other policies<\/h4>\n\n\n\n

The scope of the policy should help readers understand how it interacts with other workplace policies. For example, you may state that employees should read the AI policy together with other relevant policies. This may include the following policies:<\/p>\n\n\n\n