References: The Emperor's New Algorithm

1. Artificial intelligence - Wikipedia - Broad overview of AI history, techniques, and applications, providing the factual foundation against which this chapter's hype critique operates.

2. Hype cycle - Wikipedia - Explanation of Gartner's technology adoption model, the structural framework this chapter uses to track AI's journey from inflated expectations to productivity.

3. AI winter - Wikipedia - History of periods when AI funding and interest collapsed after failing to meet promises, directly paralleling the chapter's cyclical hype narrative.

4. Artificial Intelligence: A Guide for Thinking Humans - Melanie Mitchell - Farrar, Straus and Giroux - Accessible yet rigorous examination of what AI can and cannot do, cutting through the hype with the same skepticism this chapter employs through satire.

5. The Alignment Problem - Brian Christian - W.W. Norton - Exploration of AI safety and the gap between AI behavior and human intentions, supporting the chapter's critique of uncritical AI enthusiasm.

6. AI Index Report - Stanford University HAI - Annual data-driven assessment of AI progress across research, industry, and policy, providing real benchmarks against inflated claims.

7. The AI Hype Wall of Shame - AI Snake Oil (Princeton) - Running catalog of exaggerated AI claims by researchers Arvind Narayanan and Sayash Kapoor, the real-world equivalent of this chapter's satirical framework.

8. A Short History of AI Hype - IEEE Spectrum - Engineering-focused historical analysis of recurring AI overpromising, documenting decades of "this time it's different" rhetoric.

9. GPT-4 Technical Report - arXiv / OpenAI - The actual technical paper behind one of the most hyped AI releases, useful for comparing real capabilities to press coverage claims.

10. The Emperor's New Clothes - Project Gutenberg / Hans Christian Andersen - The 1837 fairy tale that provides this chapter's central metaphor, freely available for students to compare Andersen's satire with the AI version.