Saying when AI contributed, and who approves, AI Act included
Lesson 1 of the module "Transparency and team policy" in the course "Use AI at work without exposing your data or your company".
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 organisation whose employees use AI.
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
- Saying when AI contributed, and who approves, AI Act included (this lesson)
- Workshop: your team's AI policy, the exit kit and the application plan
What you will learn in the course
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.
- Apply GDPR basics to the use of an AI tool (personal data, purpose, minimisation, sensitive data, processor, transfers) and prepare data by distinguishing pseudonymisation from anonymisation.
- Protect the company in everyday AI use (trade secrets, contractual confidentiality, shadow AI, rights over generated content and third-party content).
- 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 organise its adoption.
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