Building Human-Centered Generative AI
暫譯: 建立以人為本的生成式人工智慧

Name: Building Human-Centered Generative AI
Price: 2346 TWD
Availability: OnlineOnly
Author: Hazra, Tanmoy, Anjaria, Kushal, Dixit, Rahul
ISBN: 3032214114

Hazra, Tanmoy, Anjaria, Kushal, Dixit, Rahul

出版商: Springer
出版日期: 2026-05-26
售價: $2,470
貴賓價: 9.5 折 $2,346
語言: 英文
頁數: 143
裝訂: Quality Paper - also called trade paper
ISBN: 3032214114
ISBN-13: 9783032214119
相關分類: GAN 生成對抗網絡

海外代購書籍(需單獨結帳)

商品描述

This book addresses critical ethical, social, and technological challenges that arise from the rapid integration of Generative AI systems into diverse aspects of human life. The shift toward human-centered GAI emerges as a response to increasing concerns about AI's embedded biases, opacity, and potential misalignment with human values. By centering on human experiences, agency, and ethical principles, this paradigm fosters the development of GAI that is explainable, interpretable, trustworthy, and aligned with societal needs.

Building Human-Centered Generative AI offers a comprehensive roadmap for rethinking generative AI as a technology that serves people first, not metrics or scale. Bringing together principles from computer science, human-computer interaction, ethics, psychology, and design, it shows how empathy, fairness, transparency, and accountability can be systematically embedded into models, interfaces, and deployment lifecycles. Rather than treating ethics as an afterthought, the book positions human values, user needs, and social impact as core design requirements for any serious generative AI initiative.

Written for graduate students, researchers, practitioners, and policymakers, this book functions both as a scholarly reference and as a practical playbook for responsible innovation. It equips teams with actionable methods for participatory and value-sensitive design, human-in-the-loop collaboration, GenAIOps governance, and multidimensional evaluation focused on trust, usability, and societal impact. For anyone tasked with designing, deploying, or regulating generative AI, Building Human-Centered Generative AI provides the conceptual grounding and hands-on guidance needed to align powerful new technologies with human dignity, equity, and long-term social good.

商品描述(中文翻譯)

這本書探討了由於生成式人工智慧（Generative AI）系統迅速融入人類生活的各個方面而產生的關鍵倫理、社會和技術挑戰。朝向以人為中心的生成式人工智慧的轉變，是對於人工智慧內嵌偏見、不透明性以及與人類價值觀潛在不一致的日益關注的回應。通過聚焦於人類經驗、主體性和倫理原則，這一範式促進了可解釋、可詮釋、值得信賴且與社會需求相一致的生成式人工智慧的發展。

《建立以人為中心的生成式人工智慧》提供了一個全面的藍圖，重新思考生成式人工智慧作為一種首先服務於人類而非指標或規模的技術。它結合了計算機科學、人機互動、倫理學、心理學和設計的原則，展示了如何將同理心、公平性、透明度和問責制系統性地嵌入模型、介面和部署生命週期中。這本書不將倫理視為事後考量，而是將人類價值、用戶需求和社會影響視為任何嚴肅的生成式人工智慧計畫的核心設計要求。

本書為研究生、研究人員、實務工作者和政策制定者而寫，既可作為學術參考，也可作為負責任創新的實用手冊。它為團隊提供了可行的方法，進行參與式和價值敏感的設計、人機協作、生成式人工智慧運營治理（GenAIOps）以及專注於信任、可用性和社會影響的多維評估。對於任何負責設計、部署或監管生成式人工智慧的人來說，《建立以人為中心的生成式人工智慧》提供了必要的概念基礎和實用指導，以使強大的新技術與人類尊嚴、公平性和長期社會福祉相一致。

作者簡介

Tanmoy Hazra is an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, and currently serves as Head of the Department. He earned his Ph.D. from the Defence Institute of Advanced Technology (DRDO), Pune, and holds an M.Tech. from IIT-ISM Dhanbad and a B.Tech. from West Bengal University of Technology. With extensive teaching and research experience across premier institutions, his interests span machine learning, deep learning, and game-theoretic applications. He has authored and edited books with Springer, published widely in leading journals and conferences, and received a Best Paper Award at an IEEE conference. Dr. Hazra actively contributes as a reviewer, conference organizer, and invited speaker in national and international forums.

Kushal Anjaria is an Assistant Professor in the IT and Systems area at the Institute of Rural Management Anand (IRMA), Tribhuvan Sahkari University (TSU). He earned his PhD in Information Security in 2018 from the Department of Computer Science and Engineering at the Defence Institute of Advanced Technology (DIAT-DRDO). His research interests focus on cybernetics and artificial intelligence. He has authored around 30 research articles in international journals and conferences. He has also authored and co-authored three books, the latest of which is Sustainable Enterprise Resource Planning (S-ERP) for Industry 4.0: A Secure and Ethical Deployment Approach. He has worked on several research and consultancy projects with government and non-governmental organizations, including UNICEF, the Government of Gujarat, and the 16th Finance Commission of the Government of India.

Rahul Dixit is an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India, where he has been serving since 2023. Prior to this, he was associated with the Indian Institute of Information Technology (IIIT) Pune as an Assistant Professor. He received his Ph.D. from NIT Rourkela in 2019 and his M.Tech. degree from IIT Dhanbad. His primary research interests include multimedia security and multimedia forgery detection. He has published over 45 research papers in reputed journals and conferences and is the author of two books in the domain of image forgery detection. Recently, his research focus has expanded to artificial intelligence applications in healthcare, particularly in the area of cancer detection and analysis.

Nitesh Funde is currently working as an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat. He did Ph.D. in Computer Science & Engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, India. He was working as a Lab Engineer at the Centre of Excellence for Commbedded Systems, Department of Electronics and Communication Engineering, VNIT, Nagpur. He has published number of research articles in various journals, conferences, and book chapters. His research interests include Data science, Applied AI/ML, Optimization for Cyber-Physical Systems, Smart Grids.

作者簡介(中文翻譯)

Tanmoy Hazra 是印度蘇拉特的薩達爾·瓦拉布·拜哈伊國立技術學院 (SVNIT) 人工智慧系的助理教授，目前擔任系主任。他在印度浦那的國防高級技術研究所 (DRDO) 獲得博士學位，並持有印度科技學院-印度礦業學院 (IIT-ISM) 的碩士學位及西孟加拉科技大學的學士學位。擁有豐富的教學和研究經驗，他的研究興趣涵蓋機器學習、深度學習和博弈論應用。他曾與Springer出版社合作撰寫和編輯書籍，並在領先的期刊和會議上廣泛發表文章，並在IEEE會議上獲得最佳論文獎。Hazra博士積極參與國內外論壇的審稿、會議組織和受邀演講。

Kushal Anjaria 是印度特里布萬合作大學 (TSU) 農村管理學院 (IRMA) IT與系統領域的助理教授。他於2018年在國防高級技術研究所 (DIAT-DRDO) 計算機科學與工程系獲得資訊安全博士學位。他的研究興趣集中在控制論和人工智慧上。他在國際期刊和會議上發表了約30篇研究文章，並著作和合著了三本書，最新的書籍是《工業4.0的可持續企業資源規劃 (S-ERP)：安全和道德的部署方法》。他曾與政府和非政府組織（包括聯合國兒童基金會、古吉拉特邦政府和印度政府第十六財政委員會）合作進行多個研究和諮詢項目。

Rahul Dixit 是印度蘇拉特的薩達爾·瓦拉布·拜哈伊國立技術學院 (SVNIT) 人工智慧系的助理教授，自2023年以來一直在此任職。在此之前，他曾在印度信息技術學院 (IIIT) 浦那擔任助理教授。他於2019年在NIT Rourkela獲得博士學位，並在IIT Dhanbad獲得碩士學位。他的主要研究興趣包括多媒體安全和多媒體偽造檢測。他在知名期刊和會議上發表了超過45篇研究論文，並在圖像偽造檢測領域著有兩本書籍。最近，他的研究重點擴展到人工智慧在醫療保健中的應用，特別是在癌症檢測和分析方面。

Nitesh Funde 目前在印度蘇拉特的薩達爾·瓦拉布·拜哈伊國立技術學院 (SVNIT) 人工智慧系擔任助理教授。他在印度納格浦爾的維斯維斯瓦拉亞國立技術學院 (VNIT) 獲得計算機科學與工程博士學位。他曾在VNIT納格浦爾的嵌入式系統卓越中心擔任實驗室工程師。他在各種期刊、會議和書籍章節中發表了多篇研究文章。他的研究興趣包括數據科學、應用人工智慧/機器學習、網絡物理系統的優化和智能電網。