How AI Works

Provide a simple, practical explanation of how AI systems are trained and how they make decisions.

What We’ll Cover:

• Training AI with large datasets to recognize patterns
• Examples of “learning” in real-world contexts
• Intro to bias: how unbalanced data can lead to unfair results
• Reinforce that AI is statistical, not intelligent or self-aware

Activity:

• “Bias in, bias out” group exercise: explore how inputs shape outputs
• Discuss common examples like facial recognition and speech-to-text errors