When AI Output Becomes Work Product You Own

When AI Output Becomes Work Product You Own

Path Outline

Progress0%

1Where AI Hides in Everyday Work Outputs 2Prompt, Model, and AI Feature in Plain English 3Low-Stakes Assist or People Impact Pause Points 4Case Study Shadow AI Note Saved as Fact

5When AI Output Becomes Work Product You Own

6What Article 4 Requires of Organisations 7Provider vs Deployer at Work and Why It Matters 8Who the Literacy Duty Covers in Real Teams 9Case Study on an AI-Written Note in a People File

10Make the Continue Pause or Stop Call 11Recognize Article 5 Red Flags Worth Escalating 12Spot High-Risk Context Clues Without Classifying 13Case Study Pausing a People Decision After a Bad Summary

14Choose Disclosure by Channel, Not by Habit 15Article 50 Transparency Triggers in Practice 16Write Law-Triggered and Policy Disclosure Lines 17Case Study: A Bot Reply Triggers a Disclosure Decision

18Decide What Is Worth Raising 19Route the Issue and Capture the Minimum Facts 20Understand What Happens After You Raise It 21Case Study on Filing the Escalation Note

Hide outline

Home
Paths
EU AI Act Article 4: Practical AI Literacy
When AI Output Becomes Work Product You Own