In this lesson, students will create their own machine learning model to classify images of apples and tomatoes. They will discover that a limited data set can lead to a flawed ML model. They will then explore how bias can appear in a data set, leading to ML models producing biased predictions.
Artificial intelligence (AI), machine learning (ML), supervised learning, classification, training data, test data, accuracy, bias, data bias, societal bias