Use AI as an assistant, not as a substitute for expertise you do not have. Check your employer’s rules, keep restricted information out of unapproved tools, verify the result, and describe your own contribution accurately. If a policy or audience expects disclosure, explain what the AI did and what you reviewed.
Before you use AI, check the rules and the tool
Start with your employer’s current AI policy. It may specify which services are approved, what kinds of work can be delegated to them, and what information must stay inside company systems. Microsoft likewise advises workers to follow organizational policy and use company-authorized AI services in its safety tips for using AI at work.
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Before entering anything, consider what the tool will receive and whether the material is sensitive. Do not paste confidential company details or personal information about employees or vendors into an AI service unless your organization’s approved environment and rules explicitly permit it. If you are unsure, leave the information out or ask the relevant internal team.
Give AI a bounded task, then review the work
Use AI for a task whose result you can assess—for example, organizing a non-confidential draft, suggesting an outline, or improving clarity. Treat the response as a draft rather than evidence that the underlying work is correct or that you have mastered the subject.
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Microsoft’s guidance is direct: “Always double-check AI-generated results before using them in your work. AI can make mistakes.” Review factual claims, calculations, citations, tone, and potential bias. Verify important claims against dependable sources and correct or remove anything you cannot substantiate. For high-impact work, use the normal review or approval process rather than relying on your own spot-check alone.
Keep your claims within your actual knowledge
Before you present AI-assisted work, ask whether you can explain its reasoning and stand behind its claims. If you cannot, investigate further, qualify the statement, or leave it out. A polished answer is not proof that you personally have the expertise it appears to demonstrate.
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Describe your contribution plainly. “I drafted this and used AI to help organize the material; I checked the claims against our sources” is different from saying you independently researched and wrote every part. Choose wording that matches what you actually did. LinkedIn’s guidance for content shared on its platform makes the broader principle explicit: “You are ultimately responsible for everything you post on LinkedIn, and your posts should represent your professional identity and expertise.”
Disclose AI assistance when the context calls for it
There is no single disclosure rule established for every workplace task. Follow the requirements that apply to your employer, client, regulator, publisher, or audience. LinkedIn recommends telling readers when content involved heavy AI assistance and that use is not obvious from context; this is platform guidance, not a universal workplace law.
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For scientific work, CDC guidance published May 28, 2026, recommends describing the content affected, action taken, AI tool, purpose, and human oversight. Its advice is specific to scientific work, so employees should not treat it as a disclosure formula that automatically governs every field. The OECD’s 2024 discussion of workplace AI highlights transparency and accountability concerns, but legal obligations depend on the jurisdiction and the work involved.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Make the decision based on the task, not the hype
There is no basis for assuming that AI always makes work faster or better. Microsoft Research’s 2024 report says productivity effects vary by role and usage, and that more study of effects on teams and organizations is needed. A sensible check is to weigh four things before using a tool:
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- Authorization: Is this service approved for the task?
- Information: What data will it receive, and is that data sensitive?
- Stakes and review: How consequential is the output, and can you verify it adequately?
- Disclosure: Does policy, the audience, or the publication context require you to explain the assistance?
If the tool is not authorized, the information is not safe to share, or you cannot check the result, do not use AI for that task in that way. If you can use it safely, keep the task bounded, review the output, and represent both the work and your own role honestly.
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