Module 1 of 5Lesson 1 of 1~4 min
Course overview
Lesson 1 of the module "Overview" in the course "Use AI at work without exposing your data or your company".
Lesson objective
By the end of this overview, you will know what you are going to produce (a team AI policy ready to be adopted), which incident the running case starts from and which four modules take you there.
Where it fits
Overview
What will I be able to do at the end of this course, and in what order?
Lessons in this module
- Course overview (this lesson)
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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