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Module
Module 5 of 5Lesson 1 of 2~15 min

Saying when AI contributed, and who approves, AI Act included

Should you say that a piece of content was produced with AI, and who must approve it before it goes out? This lesson teaches you to decide, item by item, whether a disclosure is required, advisable or unnecessary. It also explains what the AI Act expects from an organization whose employees use AI.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to decide, for content produced with AI, whether a disclosure is mandatory, recommended or unnecessary, to designate who approves it before it is shared, and to explain what the AI Act requires of an organization whose employees use AI.

Topics covered

  • AI Act
  • AI transparency
  • Article 50
  • AI literacy
  • content approval

Where it fits

Transparency and team policy

When must I say I used AI, who approves, and how do I write rules the team will actually follow?

Lessons in this module

  1. Saying when AI contributed, and who approves, AI Act included (this lesson)
  2. Workshop: your team's AI policy, the exit kit and the application plan

What you will learn in this module

This lesson is part of the course Use AI at work without exposing your data or your company

  • Sort the information in your work into green, amber or red based on its nature (public, internal, personal, sensitive, trade secrets, contractual commitments) and the tool considered.
  • Check and configure, for each tool and plan, what happens to your inputs (training, retention, human review, business terms), based on the vendors' dated pages.
  • Decide when to disclose the use of AI and who approves an output, placing the AI Act obligations in context (Article 50 transparency, Article 4 AI literacy).
  • Write a team AI policy (green, amber, red data, tools and settings, transparency, human approval, incidents, review) and organize its adoption.

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