Did you say AI? What is artificial intelligence?
1.1 To question yourself: Who is afraid of AI?
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Introduction video Through Guillaume’s questioning, develop critical thinking, including to assertions so-called scientific (or made by scientists). |
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Text | |
| To specify vocabulary points (differentiation between biological and artificial intelligence, weak and strong artificial intelligence), historical notions on the birth and evolution of AI and to question: “should we be afraid of AI?” | ||
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Pedagogical activity | |
| Activity sheet based on the 2 previous resources (video and text) is used to moderate the class and to start a discussion on AI: collect preconceived ideas, representations on AI… | ||
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Game : Cluedo of sources | |
| Educational game to practice critical distancing on the media’s discourse on AI. | ||
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Sources and additional links | |
| Resources used to design the activities and to go further | ||
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1.2 To experiment: Let’s test our first program
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Video Tutorial Module 1 Practical activity to test the possibilities and limitations of an image recognition program from pre-existing libraries and from your own dataset |
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Pedagogical activity Activity sheet for classroom use with pupils aged 7 to 12, to help them get to grips with the tutorial resource |
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Class’Code activity sheets 3 short experiment activity sheets for easy implementation: 
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1.3 To discover: What is artificial intelligence?
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In-depth video | |
| Following his questions, Guillaume went in search of answers. He shares what he has learned via diagrams and video documents. | ||
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To go further | |
Scientific articles or extracts from research documents to deepen and nourish the reflection
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Sources and additional links | |
| Resources used to design the activities and to go further | ||
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1.4 To debate: AI in all its aspects
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Video of conferences, webinars | |
| Conferences/Webinars to understand the basics of artificial intelligence, through concrete examples from research projects: image recognition, data and their representation, … | ||
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1.5 Quiz Module 1
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Quiz | |
| 6 quiz questions containing feedback with theoretical clarifications to better review what has been seen before. | ||
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1.6 AI to play with!
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Hands-on exercises 3 questions on 3 “algorithms” introduced in Module 1 through tutorials or playful applications to encourage manipulation and understanding of “how it works”. |
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