How AI labels the world

Classification systems are a fundamental type of AI that sorts data into predefined categories based on patterns it has learned. It uses a supervised learning technique where models are trained on labelled datasets. Given new, unseen data, the model predicts which category it belongs to. This approach is widely used, e.g. in spam filtering, medical diagnostics, facial recognition, and self-driving cars.

Understanding how AI Classification models work will help learners to appreciate the power and limitations of AI-driven decision-making. This lesson introduces students to how the models work, their real-world applications, and ethical considerations.