Historical Case Studies in AI

This section explores early ideas that shaped artificial intelligence, focusing on how human cognition was first understood as a computational process.


Dartmouth Conference (1956) infographic. Source: Open Digital AI, creator unknown.

The Dartmouth Conference and the Birth of AI

The 1955 Dartmouth Summer Research Project, proposed by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, is considered the founding moment of artificial intelligence as a formal field of study. The proposal introduced the term “artificial intelligence” and asserted that aspects of human learning and intelligence could be described precisely enough for machines to simulate them.

What The Conference Did

  • First formal definition of artificial intelligence
  • Established AI as a scientific research field
  • Proposed research into language, learning, reasoning, and self-improvement

This proposal reflects early optimism about the possibility of machine intelligence.

Imaginative depiction of a language model. Source: Open Digital AI; original creator unknown.

ELIZA and the Illusion of Understanding

Joseph Weizenbaum

ELIZA, created by Joseph Weizenbaum in the mid-1960s, was an early chatbot designed to simulate a Rogerian psychotherapist. Although it relied solely on simple pattern-matching and keyword substitution, many users reported feeling emotionally understood.

No actual comprehension

Pure text manipulation

Strong emotional reactions from users

ELIZA revealed how easily humans project meaning, empathy, and intelligence onto machines, even when no understanding is present.