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AI Origins: ELIZA Chatbot

LESSON 07 · LIVE ELIZA DEMO

ELIZA is a historical classroom simulation of keyword and pattern reflection. It is not a real therapist and should not be used for mental health advice.

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ELIZA uses simple rules: it scans for words and sentence patterns, then reflects parts of your sentence back using a scripted template.

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When a rule matches (for example, "I feel..."), ELIZA applies a fixed response template and may swap pronouns like "my" to "your." If no rule matches, it uses a fallback response. This is scripted pattern matching, not modern AI reasoning.

What ELIZA Is — and Is Not

Historical Context
  • ELIZA was created between 1964 and 1966 at MIT.
  • It was developed by Joseph Weizenbaum.
  • The most famous script, DOCTOR, simulated Rogerian psychotherapy prompts.

The DOCTOR script used psychotherapy patterns because reflective conversation is easy to model with simple keyword rules.

What ELIZA Is
  • ELIZA matches keywords and sentence patterns.
  • It substitutes and reflects phrases using predefined rules.
  • It keeps only limited programmed slots, not deep semantic memory.
What ELIZA Is Not
  • ELIZA does not understand language in a human sense.
  • ELIZA is not trained on a dataset.
  • ELIZA does not think.
  • ELIZA is not a licensed therapist and should not be used for mental health advice.
Contrast With Modern AI
  • Modern large language models use statistical pattern learning.
  • They are trained on very large datasets.
  • They generate probabilistic responses rather than fixed scripts.
How to Talk to ELIZA (1966 style)
  • Use simple declarative sentences.
  • Avoid slang.
  • Avoid abstract philosophical questions.
  • Speak as if interacting with a psychotherapy terminal.

"I feel anxious." "My father upsets me." "I am worried about school."

History Panel: ELIZA in AI Timeline

ELIZA occupies a foundational moment in natural language processing history and public perception of machine conversation.

Timeline

  1. 1950: Alan Turing proposes the imitation game.
  2. 1957: Perceptron research begins.
  3. 1964-1966: ELIZA is built at MIT; DOCTOR script is demonstrated in 1966.
  4. 1970s: Expert systems expand symbolic AI.
  5. 2010s-present: Large-scale statistical and neural language models become dominant.

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