Responsible AI at Work.
How to use AI in your job without getting fired, sued, or creating a PR disaster.
After this lesson you'll know
- How to create or follow a workplace AI policy
- The 5 questions to ask before using AI for any work task
- How to bring AI into your team responsibly
- What to do when there's no policy yet
The Reality
Most companies don't have an AI policy. Yet.
Studies show that the majority of employees are already using AI at work — but most companies haven't established formal policies around it. This creates a gray zone where well-meaning people can accidentally violate client confidentiality, create legal liability, or undermine trust.
Whether your company has a policy or not, you need your own framework for responsible AI use at work.
The Checklist
5 questions before using AI for any work task.
1
Does this involve confidential data?
Client info, trade secrets, employee data, financials? If yes, anonymize or don't paste it.
2
Will someone rely on this being accurate?
If the output will inform decisions, go into reports, or be sent to clients — verify every factual claim.
3
Should I disclose that AI was used?
Consider your audience, your company's expectations, and whether the context demands transparency.
4
Could this output be biased or harmful?
Hiring criteria, performance reviews, customer-facing content — check for bias before publishing.
5
Am I adding enough human judgment?
AI should augment your thinking, not replace it. If you're copy-pasting without reading, you're doing it wrong.
For Teams
Bringing AI into your team responsibly.
If you're a manager or team lead, here's how to introduce AI without chaos:
✓
Start with guidelines, not bans. Blanket bans just drive AI use underground. Clear guidelines make it safe and visible.
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Define approved tools. Which AI tools can your team use? Free accounts? Paid? Company-licensed?
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Set data boundaries. What can and can't go into AI tools? Make this extremely specific.
✓
Require human review. All AI output that goes to clients or gets published should be reviewed by a person.
✓
Train, don't just regulate. Teach your team HOW to use AI well. Rules without skills lead to frustration.
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