Artificial Intelligence in Education: Context, Rules, and Limits
Good morning, ladies and gentlemen, greetings from Canada. Thank you for inviting me to speak at this important forum on artificial intelligence and education. Here is a QR code that you can scan to access these slides, with a transcript, just in case my French is not clear. Context, Rules, and Limits We will talk about artificial intelligence in education in general terms. I will start by explaining what AI is and how it works, very briefly, and then I will discuss the three main themes of the conference: context, rules, and limits. I interpret context as “use,” and I will look at the many ways in which AI can be used in education. I interpret rules as “principles,” and I will look at what are the fundamental principles that govern how and why we use AI in education. And I interpret the limitations as practical guidelines and will look at appropriate mechanisms for teaching and learning, governance, and security. What is AI We have two types of AI. Weak AI, also called narrow AI, is