Using AI Tools Responsibly at Work
Practice making compliant AI decisions throughout a typical workday.
What Is Using AI Tools Responsibly at Work?
A practical, day-in-the-life exercise where every AI interaction has compliance implications. From choosing the right tool to disclosing AI-generated content, navigate the real decisions employees face when using AI at work under the EU AI Act.
What You'll Learn in Using AI Tools Responsibly at Work
- Select approved AI tools with valid data processing agreements for work tasks
- Evaluate what data is appropriate to input into AI tools based on classification
- Disclose AI assistance in work deliverables per EU AI Act transparency requirements
- Recognize and respond to shadow AI risks in the workplace
- Apply Article 50 transparency obligations to internal AI chatbots
Using AI Tools Responsibly at Work — Training Steps
-
A Day of AI Decisions
This is a practical, day-in-the-life exercise. No abstract regulation - just real choices. Every AI interaction at work has compliance implications. The EU AI Act requires AI literacy (Art. 4), deployer obligations (Art. 26), and transparency (Art. 50). Today, you will see how these translate into the decisions you make every time you open an AI tool.
-
An Urgent Request
Alice's manager needs a quarterly marketing report by end of day. He wants it polished and data-driven, and he is fine with Alice using AI tools to get it done.
-
Choosing the Right Tool
Before starting the report, Alice checks which AI tools are approved for use at Horizon Enterprises. The approved tools list lives behind a sign-in on the internal IT portal. The company has one approved AI assistant - OpenClaw - which has a business data processing agreement. Alice also knows about SmartDraft, a free consumer tool that is arguably faster but has no DPA and retains all input data for training.
-
What Data to Input
Alice opens the approved AI tool on her laptop and starts drafting the report. She considers pasting last quarter's revenue figures and specific client names into the prompt. Even with an approved tool, you should evaluate what data you input. Client names combined with revenue figures are competitively sensitive. Check whether the DPA covers this data category before proceeding.
-
Knowledge Check: Tool Selection
Time to test your understanding of tool selection for sensitive data.
-
Disclosing AI Assistance
The AI has drafted a complete report. Alice must now decide how to handle attribution. Present it as her own work? Label it as AI-assisted? Something else? Horizon Enterprises' policy requires disclosure of substantial AI assistance in work deliverables. The EU AI Act's transparency principles reinforce this expectation.
-
Submit the Q2 Report
The draft is solid and Alice has decided how to handle attribution. Time to send it to Tom.
-
The Internal Chatbot Question
A colleague reaches out with a question about setting up an internal chatbot. Jamie wants to create an AI-powered FAQ bot to answer common HR questions for the team.
-
The Shadow AI Risk
Another email arrives - this time from a colleague recommending an unapproved AI tool. Ryan has been using it for weeks without IT approval.
-
Knowledge Check: Shadow AI
A colleague has shared an unapproved AI tool. Time to decide what to do.