What AI Can Do: Strengths and Limitations of Artificial Intelligence
暫譯: 人工智慧的能力：人工智慧的優勢與限制
Cebral-Loureda, Manuel, Rincón-Flores, Elvira G., Sanchez-Ante, Gildardo
相關主題
商品描述
The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza's: Nobody knows the limit of AI.
Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future.
What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.
商品描述(中文翻譯)
哲學家斯賓諾莎曾經主張，沒有人知道一個身體能做什麼，這暗示著一種內在的身體力量，其界限未知。同樣地，我們也可以問自己關於人工智慧（AI）的問題：智慧的發展在多大程度上受到其技術和物質基礎的限制？換句話說，AI能做什麼？答案與斯賓諾莎的觀點類似：沒有人知道AI的極限。
從哲學、跨學科和工程的角度批判性地考慮這個問題，本書評估了AI技術的範疇和相關性，並探討它如何能帶來一個更美好但又更不可預測的未來。
《AI能做什麼》在理論和實踐層面上突顯了AI對社會的交叉相關性，吸引了工程、計算機科學和哲學的學生，以及所有對這項技術有實際興趣的人。
作者簡介
Manuel Cebral-Loureda is a full-time professor and researcher at the Tecnológico de Monterrey, School of Humanities and Education, Campus Monterrey. He holds a PhD in Philosophy (University of Santiago de Compostela), with the thesis "The cybernetic revolution from the philosophy of Gilles Deleuze: a critical review of data mining and Big Data tools", and has a master's degree in Statistical Learning and Data Mining (UNED), as well as another in Art, Philosophy and Creativity (University of Valencia). His current interests focus on Digital Humanities (applying computational tools and methods to humanistic studies), the critical reflection on technology, and Posthumanism. Some of his most recent articles include "The beginnings of the COVID19 pandemic on Twitter. Computational analysis of public conversation in the Spanish language" (2021) or "Will and desire in modern philosophy: a computational approach" (2020). Since 2021, he is a member of the Mexican National System of Researchers (SNI).
Elvira G. Rincon-Flores holds a PhD in Education Sciences from the University of Salamanca, Cum Laude thesis. Actually, she is an Impact Measurement Research Scientist at the Institute for the Future of Education of the Tecnologico de Monterrey, and she is also a professor at the same institution. She belongs to the National System of Researchers of Mexico (SNI-Level 2), and the research groups: GRIAL and GIIE, the University of Salamanca, and Tecnologico de Monterrey, respectively. She is the leader of the following research projects: Adaptive Learning, Gamification in Higher Education, Student Mentoring, Wellbeing Students, and Educational Spaces. It also collaborates with the University of Lima in the development of a dynamic platform for Gamification called Gamit! Her lines of research are Educational Innovation Evaluation and Educational Gamification.
Gildardo Sanchez-Ante is a full-time professor and researcher at the Tecnológico de Monterrey School of Engineering and Sciences, Campus Guadalajara. Holds a PhD in Computer Science from Tecnologico de Monterrey in 2002. From 1999-2001 he was a Visiting Researcher at the Robotics Laboratory of Stanford University and from 2004-2005 he was a Research Fellow at the National University of Singapore. He is a Senior Member of the IEEE and the ACM. Member of the National System of Researchers (SNI). His research interests are in automatic learning and pattern recognition, as well as its application to robotics. He has recently worked in the computational modeling of nanomaterial properties to optimize their performance.
作者簡介(中文翻譯)
Manuel Cebral-Loureda 是蒙特雷科技大學人文與教育學院的全職教授及研究員。他擁有聖地亞哥德孔波斯特拉大學的哲學博士學位，論文題目為「從吉爾斯·德勒茲的哲學看控制論革命：對資料挖掘和大數據工具的批判性回顧」，並擁有西班牙國立遠程教育大學的統計學習與資料挖掘碩士學位，以及瓦倫西亞大學的藝術、哲學與創造力碩士學位。他目前的研究興趣集中在數位人文學（將計算工具和方法應用於人文研究）、對技術的批判性反思以及後人類主義。他最近的一些文章包括「COVID19 疫情在 Twitter 上的開始：西班牙語公共對話的計算分析」（2021）和「現代哲學中的意志與欲望：一種計算方法」（2020）。自 2021 年以來，他是墨西哥國家研究系統（SNI）的成員。
**Elvira G. Rincon-Flores** 擁有薩拉曼卡大學的教育科學博士學位，論文獲得優等榮譽。她目前是蒙特雷科技大學教育未來研究所的影響測量研究科學家，同時也是該機構的教授。她是墨西哥國家研究系統（SNI-2 級）的成員，並屬於薩拉曼卡大學和蒙特雷科技大學的研究小組 GRIAL 和 GIIE。她領導以下研究項目：自適應學習、高等教育中的遊戲化、學生輔導、學生福祉和教育空間。她還與利馬大學合作開發一個名為 Gamit 的動態遊戲化平台。她的研究方向包括教育創新評估和教育遊戲化。
Gildardo Sanchez-Ante 是蒙特雷科技大學工程與科學學院的全職教授及研究員。他於 2002 年獲得蒙特雷科技大學的計算機科學博士學位。1999 至 2001 年期間，他曾擔任史丹佛大學機器人實驗室的訪問研究員，並於 2004 至 2005 年期間擔任新加坡國立大學的研究員。他是 IEEE 和 ACM 的資深會員，也是國家研究系統（SNI）的成員。他的研究興趣包括自動學習和模式識別，以及其在機器人技術中的應用。他最近的工作集中在納米材料性能的計算建模，以優化其性能。
