Terms & Basics
Essential AI Terminology
Common AI terms are explained using everyday situations such as how a “model” is like a trained employee who improves with experience, or how “hallucinations” occur when an AI confidently gives a wrong answer, similar to a person guessing instead of checking facts.
Core AI Concepts & How AI Works
Reviewing what AI actually is by seeing how systems “learn” from data for example, how Netflix recommends shows based on what you’ve watched before, or how email filters learn to recognize spam over time
How AI Is Used Today Across Industries
Learners explore real scenarios like chatbots handling customer support questions, AI helping doctors review medical images faster, or companies using AI to predict inventory needs before items run out.
Why AI Literacy Matters (Benefits & Limitations)
Through stories and case examples, students see how AI can save hours of work (like automatically summarizing long reports) but also why human oversight is important such as catching biased or incorrect AI decisions before they cause problems.
