The First Chatbot’s Multiple Personalities
IEEE Spectrum AI Sarah Ciston ● Covered by 2 sources
Researchers at MIT unearthed ELIZA's original source code from archives, revealing that the 1960s chatbot was not a simple pattern-matching program but a sophisticated platform capable of adopting multiple personas beyond its famous Doctor therapist script. The source code, published in January 1966 in Communications of the ACM, showed ELIZA could assume roles discussing math, poetry, color, and other topics through different scripts like Neweng for weather small talk. The discovery demonstrates that Weizenbaum's technical innovations were more advanced than previously documented and that design decisions about language and interaction continue to influence modern AI development.
Why it matters
ELIZA is remembered as the world’s first AI star, a kindly therapist in chatbot form that gently probed users’ worries. Even its creator, Joseph Weizenbaum, was surprised by the warm reception given to his experiment in human-machine interaction. For some, it heralded an age of automated psychotherapy, while others believed the program demonstrated sentience, a fallacy soon known as the “ELIZA effect.” Based on published descriptions, ELIZA has been implemented on many different computers, but only recently has the actual source code been unearthed from MIT’s archives. In Inventing ELIZA: How the First Chatbot Shaped the Future of AI, just published by MIT Press, a squad of researchers analyze the code and reveal a complex program capable of much more than faking psychiatry. In fact, it could assume several different personas. The authors have also created a faithful emulation of the therapist persona that you can try yourself after reading the book excerpt below.When it debuted in the
