An MIT professor’s 1960s chatbot, ELIZA, revealed patterns in how people interact with artificial intelligence that are now seen again with tools like ChatGPT. The conversations users had with ELIZA set precedents for modern chatbots and offer insight into why people share personal information with them.
In the 1960s, Joseph Weizenbaum, an MIT professor, created ELIZA, a chatbot designed to mimic a psychotherapist. According to Wired, the interactions people had with this early AI program established patterns that are now being observed in conversations with contemporary chatbots like ChatGPT.
The article highlights how ELIZA’s simple design – relying on pattern matching and rephrasing user input as questions – surprisingly elicited emotional responses from users. People began sharing secrets and personal details with the program, despite knowing it was not a real person or capable of genuine understanding. This phenomenon foreshadowed the current trend of individuals confiding in chatbots like ChatGPT.
The core reason people engaged so openly with ELIZA, and now with more advanced AI, appears to be rooted in the act of being listened to, even if that “listening” is simulated. The article suggests that ELIZA’s design created an illusion of empathy, prompting users to project their own feelings onto the program.
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