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AI literacy basics

Seventeen lessons that build the judgement to read an AI system, its evidence, and its consequences — before the vocabulary.

  1. AI Literacy: A Map of the Field
  2. What Counts as Artificial Intelligence?
  3. Rules, Search, Learning, and Generation
  4. A Short History of Artificial Intelligence
  5. AI, Machine Learning, Deep Learning, and Generative AI
  6. What AI Systems Actually Do
  7. Anatomy of an AI System
  8. Training, Inference, and Feedback
  9. Data, Labels, and Representations
  10. From Model Output to Product Decision
  11. Humans and AI: Assistance, Automation, and Oversight
  12. Reliability Under Uncertainty
  13. Bias, Privacy, Security, and Safety
  14. Generative AI Without the Hype
  15. When AI Is the Wrong Tool
  16. Evaluating AI Products and Claims
  17. Capstone: Audit an AI System End to End