Today you will train and test an AI pose model in the browser from your own body positions—tilt left, tilt right, and no tilt—and see how it learns from the examples you give it.

Critical question: how does AI learn from examples, and what happens when those examples are uneven or one-sided?

Before you add any samples, predict: what might make the model confident, and what might confuse it? You will try the activity yourselves; afterwards we will connect what you notice to the AI behind the media you use every day.

In this lesson, you will create a pose model using Google's Teachable Machine to recognise when you tilt left, tilt right or don't tilt.

Google's Teachable Machine is a tool that allows you to create machine learning models. You'll train the model to recognize different poses.

In another lesson in this course we will use the model to build a space game.

First we need to open the Google's Teachable Machine website to create our model.

Click on the Get Started button.

Click on the Pose Project button to create a new pose model project.

This will bring you to the screen where we can create our classes for our pose model.

In an AI model, a class is a category that the model can recognize. For example, in our space game, we will have three classes: tilt left, tilt right, and no tilt. The AI will learn to recognize images of each class and be able to tell them apart.

There will be two classes already added to your model called 'Class 1' and 'Class 2'.

Add a third class by clicking on the 'Add a class' button and then rename your classes to:

• Tilt Left
• Tilt Right
• No Tilt