Μάθημα : Βασικές αρχές του AI

Lesson 1 - What is AI? In this video, Veronica and Ben will introduce you to lesson 1 of Experience AI. In this lesson, students will explore the current state of artificial intelligence (AI) and how it is used in the world around them. They will consider some of the benefits and drawbacks of AI systems.

Lesson 2 - How computers learn from data The activities in this lesson help students think critically about which parts of a system use AI principles, and the role machine learning plays in creating the models. Through a video, students hear from experts about the different types of machine learning and the problems it can help solve. Finally, students are introduced to a specific example of machine learning — classification.

Lesson 3 - Bias in bias out In this lesson, students have an opportunity to create their own machine learning model using Machine learning for kids. The model classifies images of apples and tomatoes, but students discover that their model is flawed due to the limited data set they likely use to train their models. Next, students explore how bias can appear in sets of data used to train models, which in turn make the models produce biased predictions.

Lesson 4 - Decision trees Students take their first in-depth look at a type of model: decision trees. The activities build on students’ learning from Lessons 1–3 about classification, training and test data, and the data-driven nature of models. The aim of this lesson is for students to gain an understanding of the processes used to create ML models.

Lesson 5 - Solving problems with ML models This lesson introduces students to the AI project lifecycle. They start to follow the stages to create an ML model to solve a problem of their choice from a selection of prepared projects. They train the model and test it to determine its accuracy.

Lesson 6 - Model cards and careers In this lesson, students complete the final stages of the AI project lifecycle: evaluating and explaining a model. To help them explain their model, students are introduced to model cards, which are a way for the developers of a model to share important information about how to use the model, the results of testing, and any limitations relating to the accuracy of the model.