Curriculum

Teach the history: why AI's past is the most useful lesson in the curriculum

By Dr. Sai Gattupalli · June 8, 2026 · Updated October 23, 2026 · 2 min read

AI has boomed and crashed before. Students who know that history read today's headlines differently, so Module 1 opens with a map of where AI came from.

What is AI?: a map of AI history showing The big question group, with Turing's question, the Dartmouth workshop and portraits of the people behind them, and the record for Turing's imitation game.

Every student today is growing up inside an AI boom. Few of them know it's the third one. The field's history — grand promises in 1956, collapse into the first AI Winter by 1973, the expert-systems gold rush of the 1980s, a second winter, then the data-and-learning breakthrough that powers everything since — is usually a footnote. We think it belongs near the start.

History as a thinking tool

The point of teaching AI history isn't nostalgia. It's pattern recognition. Both winters had the same cause — promises outrunning what the mechanism could really do — and both ended the same way: someone changed the mechanism, not the marketing. A student who owns that pattern has a lens for every AI headline they'll ever read.

So we made it a map

In What is AI?, the second Unit of Module 1, learners open a map of AI's big ideas and the people behind them: Alan Turing's 1950 question, the 1956 Dartmouth workshop, ELIZA's rules, Deep Blue's search, the perceptron, backpropagation, ImageNet, AlexNet, Transformers and AlphaGo. Each milestone's record gives the date, the team and a source, plus a note on what that result did not prove.

Learners follow the links between ideas to see how written rules, learning from examples and search fit together, and how often one system combines them. ELIZA held conversations without understanding a word. ImageNet depended on the people who labelled its pictures. AlphaGo paired learned patterns with search.

A chess victory is evidence of chess performance. It does not demonstrate human-level ability across all tasks.

That's the historical perspective we want: humble, mechanistic, and alert to the gap between promise and mechanism. A boom is not a mechanism, and neither is a winter. The history starts earlier than Turing, too: read Ada Lovelace and the first question of AI literacy.

Updated 23 October 2026: this post first described Origins of AI, an earlier version of this Unit built as a timeline of events with the AI winters marked on it. What is AI? replaced it in October. The argument above hasn't changed.

Teach the history: why AI's past is the most useful lesson in the curriculum

History as a thinking tool

So we made it a map

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