Ethics and Governance of Artificial Intelligence: Frameworks, Risks, and Society
暫譯: 人工智慧的倫理與治理：框架、風險與社會
Rege, Manjeet, K, Hemachandran
商品描述
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes. With a focus on real-world applications and practical solutions, it provides both theoretical insights and actionable strategies for navigating the ethical challenges inherent in algorithmic decision-making systems.
- Explores the ethical implications of artificial intelligence (AI), aiming to provide both theoretical insights and practical considerations.
- Includes both the technical aspects of algorithm design and the ethical frameworks needed to address concerns such as bias and discrimination
- Hands-on and accessible, offering step-by-step guidance on embedding ethical principles in algorithmic systems without compromising performance or functionality.
- Practical tools and frameworks for ethical algorithm design, addressing key concerns such as transparency, accountability, and bias.
- Provides actionable strategies for embedding ethical principles into the development cycle of algorithms, from conception to deployment.
The book on ethical algorithms is for practitioners and scholars working in computer science and advanced technology fields where algorithms play a critical role.
商品描述(中文翻譯)
這本書全面探討了在算法系統中倫理考量日益重要的議題，旨在介紹實用的框架和工具，以識別倫理風險、確保公平結果並維持算法過程的透明度。書中專注於現實世界的應用和實用解決方案，提供理論見解和可行策略，以應對算法決策系統中固有的倫理挑戰。
- 探討人工智慧（AI）的倫理影響，旨在提供理論見解和實際考量。
- 包含算法設計的技術面以及解決偏見和歧視等問題所需的倫理框架。
- 實用且易於理解，提供逐步指導，幫助在算法系統中嵌入倫理原則，而不影響性能或功能。
- 提供針對倫理算法設計的實用工具和框架，解決透明度、問責制和偏見等關鍵問題。
- 提供可行的策略，將倫理原則嵌入算法的開發週期，從構思到部署。
這本關於倫理算法的書籍適合在計算機科學和先進技術領域工作的實務者和學者，因為算法在這些領域中扮演著關鍵角色。
作者簡介
Dr. Manjeet Rege is a distinguished academic and industry leader in the fields of data science and artificial intelligence. As a professor and the chair of the Department of Software Engineering and Data Science at the University of St. Thomas, he has made substantial contributions to the academic world, evidenced by his recognition as a Leading Academic Data Leader for 2023 by CDO Magazine. Dr. Rege also serves as the Director of the Center for Applied Artificial Intelligence at the University of St. Thomas, where he oversees initiatives that blend academic research with practical applications in AI. His expertise is acknowledged internationally, demonstrated by the establishment of a chair professorship and analytics lab in his name at Woxsen University in Hyderabad, India, to celebrate his significant contributions in analytics. As a thought leader, author, mentor, and keynote speaker, Dr. Rege is often featured in the media, offering his expert thoughts and opinions on the latest developments in machine learning and AI. Dr. Rege serves as an advisor to various organizations to provide guidance on data strategy and imparting technical AI expertise. His work has been published in various peer-reviewed reputed publications, he serves on the editorial review board of journals and regularly participates on the program committees of various international conferences.
Dr. Hemachandran Kannan is Director of the AI Research Centre and Vice Dean at Woxsen University, India, where he also serves as Course5i Chair Professor of Analytics. A globally recognized AI researcher and innovator, he has authored four books, edited seventeen volumes, and contributed transformative patents spanning healthcare, agriculture, robotics, and smart cities. His projects include the Unified Healthcare Intelligence System (UHIS), Nano-based Necrobotics, AI-driven smart airports, and quantum-AI forecasting systems. Dr. Kannan is also an advisor to UNESCO, a DeepLearning.AI ambassador, and mentor under India's Atal Innovation Mission, shaping youth-led innovation. His research interests span natural language processing, computer vision, recommender systems, and autonomous robotics, with a strong focus on responsible and ethical AI.
作者簡介(中文翻譯)
曼吉特·瑞吉博士 是數據科學和人工智慧領域的傑出學者和業界領袖。作為聖托馬斯大學軟體工程與數據科學系的教授及系主任，他對學術界做出了重大貢獻，並因而被《CDO Magazine》評選為2023年領先學術數據領袖。瑞吉博士同時擔任聖托馬斯大學應用人工智慧中心的主任，負責監督將學術研究與人工智慧實際應用相結合的各項計畫。他的專業知識在國際上受到認可，印度海得拉巴的沃克森大學以他的名字設立了講座教授職位和分析實驗室，以表彰他在分析領域的重大貢獻。作為思想領袖、作者、導師和主題演講者，瑞吉博士經常在媒體上亮相，提供他對機器學習和人工智慧最新發展的專業見解和意見。瑞吉博士還擔任多個組織的顧問，提供數據策略的指導並傳授技術人工智慧專業知識。他的研究成果發表在多個同行評審的知名期刊上，並在期刊的編輯審查委員會中任職，定期參加各種國際會議的程序委員會。
海馬昌德蘭·坎南博士 是印度沃克森大學人工智慧研究中心的主任及副院長，同時擔任分析學的Course5i講座教授。作為全球公認的人工智慧研究者和創新者，他著有四本書，編輯過十七卷，並貢獻了涵蓋醫療保健、農業、機器人技術和智慧城市的變革性專利。他的項目包括統一醫療智能系統（UHIS）、基於納米技術的死體機器人、人工智慧驅動的智慧機場和量子人工智慧預測系統。坎南博士還是聯合國教科文組織的顧問、DeepLearning.AI大使，以及印度阿塔爾創新任務下的導師，致力於塑造青年主導的創新。他的研究興趣涵蓋自然語言處理、計算機視覺、推薦系統和自主機器人，並強調負責任和倫理的人工智慧。
