AI Literacy

AI doesn't think—it predicts. Explore how machine learning uses pattern recognition and massive datasets to generate eerily convincing outputs, and why that's fundamentally different from human reasoning.

AI sounds like an expert even when it's making things up. This lesson unpacks why AI hallucinations happen and gives students a simple two-step method to verify anything an AI model tells them.

Your eyes can no longer be trusted to spot a fake photo or video. Explore how generative AI blurs the line between real and synthetic media, and learn practical techniques—like reverse image search and metadata checks—to trace where content actually came from.

An AI model can't know what it was never taught, and that gap becomes bias. This lesson unpacks how training data shapes AI answers and challenges students to rewrite prompts that fight stereotypes instead of reinforcing them.

Using AI isn't automatically cheating—it depends on whether it supports your thinking or replaces it entirely. This lesson helps students distinguish AI support from AI substitution, explore what only humans can offer, and practice disclosing AI use the right way.