How the original ELIZA chatbot transformed ideas about AI and society’s response to them.
As we reach the 60th anniversary of ELIZA’s public debut, Inventing ELIZA offers the first comprehensive critical analysis of Joseph Weizenbaum’s groundbreaking chatbot system through the lens of critical code studies. Drawing on extensive archival research at MIT, Stanford, and UCLA, this book presents the rediscovered original source code of ELIZA alongside previously unseen scripts that had been missing for decades, revealing a far more sophisticated system than previously documented. Sarah Ciston, David Berry, Anthony Hay, Mark Marino, Peter Millican, Arthur Schwarz, Jeff Shrager, and Peggy Weil trace ELIZA’s development (1965–1968), revealing that Weizenbaum created a chatbot within a conversational programming environment with previously unknown innovations well ahead of its time. Through close reading of both code and paratexts, the book reconstructs ELIZA’s conceptual evolution and situates it within the historical context of early AI development.
The book’s website, https://findingeliza.org, includes a faithful recreation of the first chatbot and news about continued research.
ENDORSEMENTS
“The innovative collaboration Inventing ELIZA doesn’t just shed light on the famous first chatbot from the 1960s. It aims an array of thoughtful approaches at a software system of ever-increasing importance, incandescently illuminating ELIZA and connecting it to current developments. This book proves the importance of critical code studies and is an essential resource for understanding the past, present, and future of AI.” —Nick Montfort, author of Output
“An extraordinary accomplishment in the history of computing. Inventing ELIZA couples important archival discoveries with careful materialist rigor. A crucial history of the present and essential reading for students and critics of AI.” —Scott Richmond, author of Cinema’s Bodily Illusions
"Part software archaeology, part improv, Inventing ELIZA opens a backstage chat in which the recovered MAD-SLIP source code acts as a lively conversational partner, transforming a technological artifact fundamental to the history of AI into a compelling dialogue about conversations themselves.” —Rita Raley, Professor of English, UC Santa Barbara
How the original ELIZA chatbot transformed ideas about AI and society’s response to them.
As we reach the 60th anniversary of ELIZA’s public debut, Inventing ELIZA offers the first comprehensive critical analysis of Joseph Weizenbaum’s groundbreaking chatbot system through the lens of critical code studies. Drawing on extensive archival research at MIT, Stanford, and UCLA, this book presents the rediscovered original source code of ELIZA alongside previously unseen scripts that had been missing for decades, revealing a far more sophisticated system than previously documented. Sarah Ciston, David Berry, Anthony Hay, Mark Marino, Peter Millican, Arthur Schwarz, Jeff Shrager, and Peggy Weil trace ELIZA’s development (1965–1968), revealing that Weizenbaum created a chatbot within a conversational programming environment with previously unknown innovations well ahead of its time. Through close reading of both code and paratexts, the book reconstructs ELIZA’s conceptual evolution and situates it within the historical context of early AI development.
The book’s website, https://findingeliza.org, includes a faithful recreation of the first chatbot and news about continued research.
Praise
ENDORSEMENTS
“The innovative collaboration Inventing ELIZA doesn’t just shed light on the famous first chatbot from the 1960s. It aims an array of thoughtful approaches at a software system of ever-increasing importance, incandescently illuminating ELIZA and connecting it to current developments. This book proves the importance of critical code studies and is an essential resource for understanding the past, present, and future of AI.” —Nick Montfort, author of Output
“An extraordinary accomplishment in the history of computing. Inventing ELIZA couples important archival discoveries with careful materialist rigor. A crucial history of the present and essential reading for students and critics of AI.” —Scott Richmond, author of Cinema’s Bodily Illusions
"Part software archaeology, part improv, Inventing ELIZA opens a backstage chat in which the recovered MAD-SLIP source code acts as a lively conversational partner, transforming a technological artifact fundamental to the history of AI into a compelling dialogue about conversations themselves.” —Rita Raley, Professor of English, UC Santa Barbara
