We’ve spent a lot of time in Magnetic Marketing Tips exploring how AI is reshaping marketing: from fine-tuning your SEO and social media strategy to overhauling your entire website structure. Today, we’re shifting focus from AI in marketing to how it’s changing things internally.
Last week, I chatted with Kerry Flynn Barrett, a fractional Chief HR Officer, to talk about the reality of AI in the workplace. Fresh off a piece she wrote about workplace AI policies, Kerry gave me the inside scoop on how employees are actually using these tools right now, and what leadership needs to do about it.
“At most companies, AI is already being used by employees, whether the company has a formal AI policy in place or not,” Kerry told me. “So business leaders need to prioritize developing a policy. They need to set the rules and approve AI tools before employees create and use their own.”
According to Kerry, employees are already using AI to draft communications, organize data, research questions, and generally make work easier. Key point: Leadership cannot hide from AI and expect employees to handle it wisely.
Protection, not permission
In many organizations, AI already touches employee training, compliance, customer experience, data privacy, recruiting, compensation, documentation, transparency, and trust. Kerry argued that leaders, rather than having their heads in the sand about artificial intelligence, should address the growing reliance on AI and the need for organizational guidelines.
A workplace AI policy is not a blanket endorsement of every tool or use case. It gives employees boundaries. It tells them which tools are approved, which uses are acceptable, what information should never be entered, when human review is required, and when they should ask for help.
Without this direction, employees may believe they are being efficient while actually creating enormous risk for the organization. They may enter the company name into a public tool while asking for help with employee engagement. They may include an individual’s name in a sensitive prompt. They may put financial data into a tool because they want it formatted more neatly. They may use AI-generated research in a report without citing it, or trust the results blindly, without verifying sources. (Does any of this sound familiar?)
Clearly stated and communicated AI use policies also create psychological security. Employees should not have to wonder whether they will get in trouble for using a tool that everyone around them is using. They should know what is allowed, what is not, and when transparency is expected.
Creating an effective workplace AI policy
Creating a thoughtful policy is not simple. Use cases vary from one company to another, and AI tools are advancing quickly. Everything starts with understanding how employees already use AI, where sensitive information is involved, and where the greatest risks are likely to appear.
Kerry noted that HR consultants can help organizations define appropriate tools, prohibited information, and use cases that require extra caution. They distinguish everyday AI use from higher-risk situations involving employees, clients, financial data, legal issues, confidential business information, or employment decisions.
AI policy components
A good AI policy should help employees use AI productively while protecting confidential information, clients, employees, and the organization. It should be specific enough to guide daily decisions without becoming so restrictive that employees give up and ignore it.
The policy should begin with the purpose, scope, and definitions, including the types of AI tools covered and whether the rules apply to employees, contractors, vendors, or all of the above.
It should identify approved tools and acceptable uses, such as brainstorming, drafting, summarizing public information, and improving grammar. It should also state which uses require approval and which are prohibited. For instance, employees should never enter confidential, personal, financial, health, legal, or proprietary information into public or unapproved AI systems.
Human review should be required for all AI-generated work. Employees remain responsible for checking accuracy, sources, calculations, tone, bias, and compliance before using or sharing the material. The policy should place stricter controls on high-risk uses involving hiring, performance reviews, compensation, legal matters, financial decisions, safety, or other decisions that may significantly affect an individual.
Additional sections should address intellectual property, copyright, transparency, and when AI involvement must be disclosed. The policy should also cover external communications, cybersecurity, data retention, AI meeting tools, and integrations with company systems.
Organizations should also establish a process for reviewing AI vendors, including how vendors store, use, train on, and delete company data. Roles and responsibilities should be assigned to HR, IT, legal, management, or an AI governance team.
Finally, the policy should include employee training, incident-reporting procedures, and enforcement measures.
Annual review
AI technology and related laws continue to change; therefore, an organization’s AI policy should be reviewed at least annually and updated whenever the organization introduces new tools or uses AI in higher-risk activities.
Get guidance for your AI policy
AI use is moving faster than many workplace policies can keep up. A well-designed AI policy can give your employees the guidance they need while helping your organization protect sensitive information, reduce risk, and maintain appropriate human oversight.
Not sure where to begin? Talk with an experienced HR advisor who can help you assess how AI is currently being used, identify areas of concern, and create a policy suited to your organization.
