Inventing Eliza: How the First Chatbot Shaped the Future of AI
暫譯: 發明艾莉莎:第一個聊天機器人如何塑造人工智慧的未來

Ciston, Sarah, Berry, David M., Hay, Anthony C.

  • 出版商: Summit Valley Press
  • 出版日期: 2026-05-12
  • 售價: $1,500
  • 貴賓價: 9.5$1,425
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0262052482
  • ISBN-13: 9780262052481
  • 相關分類: Chatbot
  • 尚未上市,無法訂購

相關主題

商品描述

How the infamous 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 upon extensive archival research at MIT, Stanford, and UCLA, this book presents the rediscovered original source code of ELIZA alongside previously unseen scripts (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), reveals 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.

Book website: https: //findingeliza.org and elizagen.org. The website includes a faithful recreation of the first Chatbot and news about continued research.

商品描述(中文翻譯)

臭名昭著的 ELIZA 聊天機器人如何改變了對人工智慧的看法以及社會對此的反應。

隨著 ELIZA 公開亮相 60 週年紀念的到來,Inventing ELIZA 提供了對約瑟夫·韋岑鮑姆(Joseph Weizenbaum)開創性聊天機器人系統的首個全面批判性分析,並透過批判性程式碼研究的視角進行探討。這本書基於在麻省理工學院(MIT)、史丹佛大學(Stanford)和加州大學洛杉磯分校(UCLA)的廣泛檔案研究,展示了 ELIZA 的原始源代碼以及數十年來未曾見過的腳本,揭示出一個比以往記錄的系統更為複雜的面貌。莎拉·西斯頓(Sarah Ciston)、大衛·貝瑞(David Berry)、安東尼·海(Anthony Hay)、馬克·馬里諾(Mark Marino)、彼得·米利肯(Peter Millican)、亞瑟·施瓦茨(Arthur Schwarz)、傑夫·施雷格(Jeff Shrager)和佩吉·韋爾(Peggy Weil)追溯了 ELIZA 的發展(1965-1968),揭示韋岑鮑姆在一個對話式程式設計環境中創造了一個聊天機器人,並且擁有許多當時未知的創新,遠超其時代。通過對程式碼和旁文本的細緻閱讀,這本書重建了 ELIZA 的概念演變,並將其置於早期人工智慧發展的歷史背景中。

書籍網站: https://findingeliza.org 和 elizagen.org。該網站包括對第一個聊天機器人的忠實重建以及持續研究的最新消息。

作者簡介

Sarah Ciston is the author of A Critical Field Guide for Working with Machine Learning Datasets and of interactive Critical AI tutorials using p5.js, funded by Google Season of Docs.

David M. Berry is Professor of Digital Humanities at the University of Sussex. He is the author of Critical Theory and the Digital, The Philosophy of Software, and Digital Humanities.

Anthony C. Hay has a degree in Computer Science from Imperial College, London.

Mark C. Marino, Director, is Professor (Teaching) of Writing at the University of Southern California, where he directs the Humanities and Critical Code Studies Lab. He is also a 2023-24 Generative AI Fellow. His previous books include 10 PRINT CHR$(205.5+RND(1)); GOTO 10 (MIT Press) with Nick Montfort et al., Reading Project with Jessica Pressman and Jeremy Douglass, and Critical Code Studies (MIT Press).

Peter Millican is Gilbert Ryle Fellow and Professor of Philosophy at Hertford College, University of Oxford. He is also Professor in Philosophy at the National University of Singapore and Visiting Professor in Computing and Data Science at Nanyang Technological University.

Jeff Shrager is a cognitive scientist and entrepreneur with deep technical experience in both modern and classic AI. In the early 1970 he wrote a BASIC version of ELIZA that was published in Creative Computing, introducing the entire PC generation to conversational AI.

Arthur Schwarz develops and supports software algorithms and language design and development of products for public use, and is the former Chair of the Orange County IEEE Cybersecurity SIG.

Peggy Weil is a multi-disciplinary artist working in Los Angeles and teaches at the USC School of Cinematic Arts.

作者簡介(中文翻譯)

莎拉·西斯頓(Sarah Ciston)是《與機器學習數據集合作的關鍵實用指南》(A Critical Field Guide for Working with Machine Learning Datasets)的作者,以及使用 p5.js 的互動式關鍵 AI 教學的創作者,該項目由 Google Season of Docs 資助。

大衛·M·貝瑞(David M. Berry)是薩塞克斯大學(University of Sussex)數位人文學科的教授。他是《批判理論與數位》(Critical Theory and the Digital)、《軟體哲學》(The Philosophy of Software)和《數位人文學》(Digital Humanities)的作者。

安東尼·C·海(Anthony C. Hay)擁有倫敦帝國學院(Imperial College, London)的計算機科學學位。

馬克·C·馬里諾(Mark C. Marino)是南加州大學(University of Southern California)寫作學的教授(教學),並擔任人文學科與批判代碼研究實驗室的主任。他也是 2023-24 年的生成 AI 研究員。他的前著作包括與尼克·蒙特福特(Nick Montfort)等人合著的《10 PRINT CHR$(205.5+RND(1)); GOTO 10》(MIT Press)、與傑西卡·普雷斯曼(Jessica Pressman)和傑瑞米·道格拉斯(Jeremy Douglass)合著的《閱讀計畫》(Reading Project),以及《批判代碼研究》(Critical Code Studies)(MIT Press)。

彼得·米利肯(Peter Millican)是吉爾伯特·賴爾(Gilbert Ryle)研究員及牛津大學赫特福德學院(Hertford College, University of Oxford)哲學教授。他同時也是新加坡國立大學(National University of Singapore)的哲學教授,以及南洋理工大學(Nanyang Technological University)計算與數據科學的訪問教授。

傑夫·施拉格(Jeff Shrager)是一位認知科學家和企業家,擁有現代和經典 AI 的深厚技術經驗。在 1970 年代初,他編寫了一個 ELIZA 的 BASIC 版本,並在《Creative Computing》上發表,將整個 PC 世代引入對話式 AI 的世界。

亞瑟·施瓦茨(Arthur Schwarz)開發和支持公共使用的軟體算法及語言設計和產品開發,並曾擔任橙縣 IEEE 網路安全特別興趣小組的主席。

佩吉·維爾(Peggy Weil)是一位多學科藝術家,活躍於洛杉磯,並在南加州大學電影藝術學院(USC School of Cinematic Arts)任教。