What is AI?

Learning Objectives Define Artificial Intelligence (AI) in their own words. Differentiate between Narrow AI and General AI. Identify at least three real-world applications of AI. Explain the basic concept of machine learning as a core part of AI. Describe the critical role of data in training an AI system. Distinguish between a simple, rule-based program and a learning-based AI system. Ever wonder how your phone unlocks with your face or how a game's enemies seem to learn your moves? 🤔 That's the magic of Artificial Intelligence! In this lesson, we'll explore the exciting world of AI. You will learn what AI is, how it's different from regular computer programs, and discover how it's already a part of your daily life. Real-World Applications Voi...

TermDefinitionExample Artificial Intelligence (AI)The ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.A self-driving car using sensors and cameras to navigate roads and avoid obstacles, a task that normally requires a human driver. Machine Learning (ML)A type of AI that gives computers the ability to learn without being explicitly programmed. The system learns and improves from experience (data).An email service learns to identify spam by analyzing thousands of emails you and others have marked as 'spam' in the past. DataThe information, such as facts, numbers, images, or text, that is collected and used to train an AI model.To train an AI to recognize cats, you would ne...

The AI Learning Pattern Data + Algorithm = Model This is the fundamental process of machine learning. You feed a large amount of data into a learning algorithm, which then produces a trained model capable of making predictions. The AI Prediction Flow New Input -> AI Model -> Prediction/Output Once a model is trained, you can give it new, unseen data. The model processes this input and generates an output, which could be a classification (e.g., 'spam'), a prediction (e.g., 'rain tomorrow'), or another decision. Rule-Based vs. Learning-Based Systems Rule-Based: `IF condition THEN action`. Learning-Based: Learns patterns from data. A simple program follows explicit `if-then` rules written by a programmer. An AI system isn't given every rul...