🎓 Track

🤖 Understanding AI

Use AI assistants without getting caught: verify, protect your data, spot deepfakes and know your rights.

Free, no sign-up

Who is it for?

Complete beginners and regular users who want to understand what they're using.

By the end of this track, you will be able to

  • Understand what an AI really does — and what it doesn't
  • Write precise prompts and verify the answers
  • Never expose sensitive data in a public tool
  • Recognize a deepfake by context and know your European rights

The programme

  1. 1
    Understanding AI: What It Really Does, and the 5 Mistakes to Avoid

    Understanding AI: What It Really Does, and the 5 Mistakes to Avoid

    How AI assistants work, what they do well and badly, hallucinations, confidentiality, and a simple method to use them intelligently starting today.

  2. 2
    AI Under the Hood: 5 Advanced Notions That Change How You Use It

    AI Under the Hood: 5 Advanced Notions That Change How You Use It

    How a model learns, why it “forgets“, where its biases come from, why two answers differ: five plain-language notions that explain the behaviors you observe — and how to turn them to your advantage.

  3. 3
    Recognizing Deepfakes: Why Your Eyes Aren't Enough — and What Works Instead

    Recognizing Deepfakes: Why Your Eyes Aren't Enough — and What Works Instead

    Cloned voices, fake videos, fabricated images: why visual inspection no longer protects you, and the context-based reflexes that do — call-back, family code word, source verification.

  4. 4
    AI: The Risks That Matter — and the Rights You Already Have

    AI: The Risks That Matter — and the Rights You Already Have

    Bias at scale, surveillance, transformed work, polluted information, delegated judgment: AI's five structural risks, the debates laid out honestly — and the concrete rights the GDPR and the AI Act already give you.

📘 The full guide

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