Ethical AI and Data Science: Building Trustworthy and Transparent Systems
暫譯: 倫理人工智慧與數據科學:建立可信賴與透明的系統

Merlo, Tereza Raquel, Liebowitz, Jay

  • 出版商: Auerbach Publication
  • 出版日期: 2026-04-16
  • 售價: $2,540
  • 貴賓價: 9.5$2,413
  • 語言: 英文
  • 頁數: 210
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1041110065
  • ISBN-13: 9781041110064
  • 相關分類: AI Coding
  • 尚未上市,無法訂購

相關主題

商品描述

As artificial intelligence (AI) permeates day-to-day life--influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whom--it frames individuals and society. AI has far-reaching powers to improve lives, but it is not without risks. Owing to its limitations, AI may prevent a person from receiving needed healthcare, block a deserving candidate from employment, or present fake and inaccurate information. How to trust that AI systems will improve lives and not create greater inequality and strife? How to foster the benefits of AI and mitigate the harms from AI? Ethical AI and Data Science: Building Trustworthy and Transparent Systems answers these questions.

A vital and ongoing dialogue surrounding data, accessibility, and the multifaceted challenges posed by AI in ethics, safety, and societal impact, the book features diverse perspectives and practical approaches written by a panel of experts. Highlights of the book include:

  • Ensuring safety in agentic AI through decision traceability
  • Promoting responsible and ethical AI in financial services
  • Bridging human-machine knowledge for responsible AI
  • Responsible agentic AI for effective cybersecurity and ethical safety

The book offers valuable insights into navigating the complexities of developing AI systems that are not only innovative but also transparent, equitable, and secure. This volume aims to advance understanding and foster collaboration among researchers, practitioners, and policymakers, helping to shape AI technologies that responsibly serve society while addressing critical concerns around fairness, accountability, and human well-being.

商品描述(中文翻譯)

隨著人工智慧(AI)滲透到日常生活中——影響誰能獲得何種醫療保健、決定誰能獲得就業面試或學術入學,或是向誰提供何種資訊——它塑造了個人和社會。AI擁有改善生活的深遠能力,但也並非沒有風險。由於其局限性,AI可能會阻止一個人獲得所需的醫療保健,阻擋一位應得的候選人獲得工作,或提供虛假和不準確的資訊。我們如何信任AI系統能改善生活,而不會造成更大的不平等和衝突?我們如何促進AI的好處並減輕AI帶來的危害?倫理AI與數據科學:建立可信賴和透明的系統回答了這些問題。

這本書圍繞數據、可及性以及AI在倫理、安全和社會影響方面所帶來的多面挑戰展開了重要且持續的對話,並由一群專家撰寫了多元的觀點和實用的方法。書中的亮點包括:

- 通過決策可追溯性確保代理AI的安全性
- 在金融服務中促進負責任和倫理的AI
- 橋接人機知識以實現負責任的AI
- 負責任的代理AI以有效的網絡安全和倫理安全

本書提供了有價值的見解,幫助讀者駕馭開發不僅具創新性而且透明、公平和安全的AI系統的複雜性。本書旨在促進研究人員、實務工作者和政策制定者之間的理解與合作,幫助塑造能夠負責任地服務社會的AI技術,同時解決有關公平性、問責制和人類福祉的關鍵問題。

作者簡介

Dr. Tereza Raquel Merlo is a researcher, professor, practitioner, consultant, and post-doctoral researcher at the Federal University of Rio de Janeiro (UFRJ) in a program affiliated with the Brazilian Institute of Information in Science and Technology (IBICT). At the University of North Texas (UNT), she teaches in the Information Sciences Department. Dr. Merlo is also the CEO of Merlo Management Consulting, delivering global business solutions focused on business process improvement through data analysis, knowledge management systems, and leadership development.

Her research centers on Knowledge Management Systems and the impact of Artificial Intelligence on business performance, strategy, and operations with particular expertise in AI-driven business strategies, process optimization, and leadership. Dr. Merlo actively contributes to scientific committees for academic journals and serves on the advisory board of the International Conference on Knowledge Management (ICKM). She has chaired several of its annual conferences, including: Knowledge- Based Economy and Networked University (Brazil, 2019); Bridges to Knowledge Society (Brazil, 2023); Navigating Inequities and Social Justice in the Age of Artificial Intelligence (USA, 2024); and Shaping the Future of Data, Knowledge, and Innovation with AI for Global Sustainable Change (Portugal, 2025). She has also been invited to serve on the scientific committee for the Glossary of Innovation, Organizational Knowledge, and Scientific and Technological Information at IBICT.

Dr. Merlo has authored and edited several books, including Understanding, Implementing, and Evaluating Knowledge Management in Business Settings (IGI Global) and AI and Data Analytics in Organizational Management. She is the editor-in-chief of the book series Artificial Intelligence in Organizations: Transformative Technologies, Applications, and Impacts by World Scientific Publishing. She has published numerous scientific papers and book chapters and regularly participates in international conferences as a keynote speaker.

She served the City of Austin for over a decade, developing, implementing, and managing numerous projects within the library system and across city departments. Her work focused on Digital Literacy, Collection Development, Culture and Diversity, Leadership, and Records Management. Throughout her career, she has received multiple awards recognizing excellence in project management, team leadership, and initiatives promoting inclusion and diversity. Notably, in 2016, she received the Texas Library Association Junior Library Guild Diversity and Inclusion Award for her innovative project promoting inclusion and diversity within Austin communities.

With extensive experience working with Fortune 100 companies, Dr. Merlo has led projects in deal management, cloud computing, data analytics, business intelligence, and sales strategy, successfully managing a portfolio exceeding $52 million.

Dr. Jay Liebowitz served as the professor of Business Innovation and Industry Transformation and Director of the AI-EDGE Center in the Crummer Graduate School of Business at Rollins College. He has recently served as the inaugural executive-in-residence for Public Service at Columbia University's Data Science Institute. He was previously a visiting professor in the Stillman School of Business and the MS- Business Analytics Capstone & co-program director (External Relations) at Seton Hall University. He previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a full professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/ practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 issue of the Journal of Knowledge Management. At Johns Hopkins University, he was the founding program director for the Graduate Certificate in Competitive Intelligence and the capstone director of the MS- Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and nonprofits in capstone projects.

Prior to joining Hopkins, Dr. Liebowitz was the first knowledge management officer at NASA Goddard Space Flight Center. Before NASA, he was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, professor of Management Science at George Washington University, and chair of Artificial Intelligence at the US Army War College.

Dr. Liebowitz is the founding editor-in-chief of Expert Systems with Applications: An International Journal (published by Elsevier; ranked as a top-tier journal; Thomson Impact Factor as of June 2021 is 8.665). He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems). He has published over 45 books and a myriad of journal articles on knowledge management, analytics, financial literacy, intelligent systems, and IT management. Dr. Liebowitz served as the editor-in-chief of Procedia-CS (Elsevier). He is also the editor of the Data Analytics Applications book series (Taylor & Francis Group), as well as the Digital Transformation: Accelerating Organizational Intelligence book series (World Scientific Publishing). In October 2011, the International Association for Computer Information Systems named the "Jay Liebowitz Outstanding Student Research Award" for the best student research paper at the IACIS Annual Conference. Liebowitz was the Fulbright Visiting Research Chair in Business at Queen's University for Summer 2017 and a Fulbright Specialist at Dalarna University in Sweden in May 2019. He is in the top 2% of the top scientists in the world, according to a 2019 Stanford study. As of 2021, he is the visiting distinguished professor at the International School for Social and Business Studies in Slovenia. His recent books are: Data Analytics and AI (Taylor & Francis Group, 2021), The Business of Pandemics: The COVID-19 Story (Taylor & Francis, 2021), A Research Agenda for Knowledge Management and Analytics (Elgar, 2021), Online Learning Analytics (Taylor & Francis Group, 2022), Digital Transformation for the University of the Future (World Scientific, 2022), and Cryptocurrency Concepts, Technology, and Applications (Taylor & Francis Group, 2023), Pivoting Government Through Digital Transformation (Taylor & Francis Group, 2024), and Developing the Intuitive Executive: Using Analytics and Intuition for Success (Taylor & Francis Group, 2024). His newest book, Regulating Hate Speech Created by Generative AI, was published by Taylor & Francis Group in August 2024. He has also lectured and consulted worldwide.

作者簡介(中文翻譯)

特雷莎·拉奎爾·梅爾洛博士是巴西里約熱內盧聯邦大學(UFRJ)的一名研究員、教授、實踐者、顧問及博士後研究員,隸屬於巴西科學與技術資訊研究所(IBICT)的計畫。在北德克薩斯大學(UNT),她在資訊科學系教授課程。梅爾洛博士同時也是梅爾洛管理顧問公司的執行長,專注於透過數據分析、知識管理系統和領導力發展提供全球商業解決方案,旨在改善商業流程。

她的研究重點在於知識管理系統及人工智慧對商業績效、策略和運營的影響,特別專注於以人工智慧驅動的商業策略、流程優化和領導力。梅爾洛博士積極參與學術期刊的科學委員會,並擔任國際知識管理會議(ICKM)的顧問委員會成員。她曾主持多次年度會議,包括:基於知識的經濟與網絡大學(巴西,2019年);通往知識社會的橋樑(巴西,2023年);在人工智慧時代導航不平等與社會正義(美國,2024年);以及利用人工智慧塑造數據、知識與創新的未來以促進全球可持續變革(葡萄牙,2025年)。她還受邀擔任IBICT的創新、組織知識及科學與技術資訊詞彙表的科學委員會成員。

梅爾洛博士著有及編輯多本書籍,包括理解、實施及評估商業環境中的知識管理(IGI Global)及組織管理中的人工智慧與數據分析。她是世界科學出版社出版的書系列組織中的人工智慧:變革性技術、應用與影響的主編。她發表了大量科學論文和書籍章節,並定期參加國際會議擔任主題演講者。

她在奧斯丁市服務超過十年,開發、實施及管理圖書館系統及市政府各部門的多個專案。她的工作重點在於數位素養、館藏發展、文化與多樣性、領導力及檔案管理。在她的職業生涯中,她獲得多項獎項以表彰其在專案管理、團隊領導及促進包容性和多樣性方面的卓越表現。值得注意的是,在2016年,她因其促進奧斯丁社區包容性和多樣性的創新專案而獲得德克薩斯圖書館協會的青少年圖書館公會多樣性與包容性獎。

梅爾洛博士擁有與《財富》100 強公司合作的豐富經驗,曾主導交易管理、雲計算、數據分析、商業智慧及銷售策略的專案,成功管理超過5200萬美元的投資組合。

傑伊·利博維茨博士曾擔任羅林斯學院克拉默研究生商學院的商業創新與產業轉型教授及AI-EDGE中心主任。他最近擔任哥倫比亞大學數據科學研究所公共服務的首任駐校執行官。他曾是塞頓霍爾大學斯蒂爾曼商學院的訪問教授及商業分析碩士課程的共同計畫主任(外部關係)。他還曾擔任哈里斯堡科技大學應用商業與金融的傑出講座教授。在哈里斯堡科技大學之前,他是馬里蘭大學大學學院(UMUC)研究生院的奧坎德管理與技術講座教授。他在約翰霍普金斯大學的凱瑞商學院擔任全職教授。他在全球11,000名知識管理研究者/實踐者中被評為前10名,並根據2010年1月的知識管理期刊排名為全球知識管理策略的第二名。在約翰霍普金斯大學,他是競爭情報研究生證書課程的創始計畫主任,並擔任商業資訊與電信系統碩士課程的頂點主任,與超過30個行業、政府及非營利組織合作進行頂點專案。

在加入霍普金斯之前,利博維茨博士是NASA戈達德太空飛行中心的首位知識管理官。在NASA之前,他是馬里蘭大學巴爾的摩縣分校的羅伯特·W·德意志信息系統傑出教授、喬治華盛頓大學的管理科學教授,以及美國陸軍戰爭學院的人工智慧講座主席。

利博維茨博士是應用專家系統:國際期刊(由Elsevier出版;被評為頂級期刊;截至2021年6月的Thomson影響因子為8.665)的創始主編。他是富布賴特學者、IEEE-USA聯邦通信委員會執行研究員,以及年度計算機教育者(國際計算機信息系統協會)。他已出版超過45本書籍及大量有關知識管理、分析、財務素養、智能系統及IT管理的期刊文章。利博維茨博士曾擔任Procedia-CS(Elsevier)的主編。他還是數據分析應用書系列(泰勒與法蘭西斯集團)及數位轉型:加速組織智慧書系列(世界科學出版社)的編輯。在2011年10月,國際計算機信息系統協會為IACIS年會最佳學生研究論文設立了“傑伊·利博維茨傑出學生研究獎”。利博維茨在2017年夏季擔任女王大學商業富布賴特訪問研究講座,並於2019年5月在瑞典達拉納大學擔任富布賴特專家。他根據2019年斯坦福研究的資料,位於全球頂尖科學家的前2%。截至2021年,他是斯洛維尼亞社會與商業研究國際學校的訪問傑出教授。他最近的書籍包括:數據分析與人工智慧(泰勒與法蘭西斯集團,2021年)、疫情商業:COVID-19的故事(泰勒與法蘭西斯,2021年)、知識管理與分析的研究議程(艾爾加,2021年)、線上學習分析(泰勒與法蘭西斯集團,2022年)、未來大學的數位轉型(世界科學,2022年)、加密貨幣概念、技術與應用(泰勒與法蘭西斯集團,2023年)、透過數位轉型轉變政府(泰勒與法蘭西斯集團,2024年)、以及培養直覺型執行官:利用分析與直覺取得成功(泰勒與法蘭西斯集團,2024年)。他最新的書籍規範生成式人工智慧所產生的仇恨言論於2024年8月由泰勒與法蘭西斯集團出版。他還在全球各地進行講座和諮詢。