Explainable Artificial Intelligence for Sustainable Development: Advancing Social and Economic Transformations
暫譯: 可解釋的人工智慧與可持續發展：推進社會與經濟轉型

這本書探討了透明且可解釋的人工智慧（AI）技術如何支持各行各業和社會的可持續進步。它結合了解釋性人工智慧（XAI）的理論基礎和實踐應用，並與聯合國的可持續發展目標（SDGs）相一致，提供了對其負責任創新潛力的見解。

本書全面理解了解釋性人工智慧如何增強AI驅動決策中的信任、倫理和問責性。通過多樣的案例研究——從銀行業、電子商務和可持續性報告，到精神醫學、教育和能源——本書展示了XAI在推動可持續商業實踐和社會福祉中的變革性角色。每一章都將前沿研究與現實世界的例子相結合，使複雜的AI系統變得更易於理解且與社會相關。本書彌合了不同學科之間的鴻溝，提供了一個全面且可行的視角，探討AI在可持續性方面的應用。

這本書是研究人員、專業人士和政策制定者尋求負責任地利用AI的重要資源。社會科學、經濟學和資訊系統的學者將找到堅實的理論基礎，而商業、政府和非政府組織的從業者則獲得在實際情境中實施XAI的實用工具。它也非常適合希望將創新與可持續、倫理轉型對齊的學生、教育工作者和AI愛好者。

Ewa Wanda Ziemba is a full professor of management at the University of Economics in Katowice, Poland, and an ordinary member of the European Academy of Sciences and Arts in Salzburg, Austria. Her research focuses on digital transformation for sustainable development, and she is internationally recognized for developing a multi-dimensional framework for a sustainable information society.

She has authored over 300 peer-reviewed publications, including books published by Springer and Taylor & Francis, as well as articles in leading journals such as the Journal of Computer Information Systems, Sustainable Cities and Society, and Information Technology & People. In 2021, she was ranked among the world's top 2% most-cited scientists, according to a global study by Stanford University, Elsevier, and Scopus.

She has led more than 40 research projects and currently coordinates an EU-funded initiative TOP4HoneyChains: Trustable and Sustainable Open Platform for Smart Honey Value, funded by the National Centre for Research and Development in Poland (ICTAGRIFOOD/II/67/ TOP4HoneyChain/2023) as part of the ERA-NET CO-FUND ICT-AGRI-FOOD initiative, implemented under the European Union's Horizon 2020 Programme. She led a project Development of a systemic approach to the sustainable development of the information society - on the example of Poland, founded by the National Science Centre in Poland (OPUS--2011/01/B/HS4/00974).

She also serves as the editor-in-chief and reviewer for several high-impact academic journals. Her academic achievements have been widely recognized, and she has received numerous national and international awards.

Wioletta Grzenda is an associate professor at the Institute of Statistics and Demography, Collegium of Economic Analysis at the SGH Warsaw School of Economics, Poland. She holds a PhD in Mathematics from Maria Curie-Sklodowska University in Lublin, Poland, and a DSc degree in Economics and Finance from SGH Warsaw School of Economics for her works on Bayesian modeling of family and occupational careers. She is the head of the Statistical Methods and Business Analytics Unit.

Her research interests focus on data analytics, with particular attention to statistical methods, including Bayesian techniques, machine learning methods, and the applications of these methods to socio-economic phenomena. She has published research papers in this field in journals of prestigious publishers such as Elsevier, Taylor & Francis, and Sage. Moreover, she is the author of three books and co-author of books on Bayesian statistics, advanced statistical methods, and programming in data analytics. She has authored reviews for journals such as Quality and Quantity, Social Indicators Research, and Statistics in Transition new series. She actively participates in national and international projects, including the ongoing project Towards a Resilient Future of Europe--HORIZON-CL2-2022-TRANSFORMATIONS-01. She was the leader of a project funded by the National Science Center titled The modeling of parallel family and occupational careers with Bayesian methods (OPUS--2015/17/B/HS4/02064).

She is involved in teaching undergraduate and graduate students. She delivers lectures on inter alia data mining and duration analysis. She is a member of the program board of master studies in advanced analytics--big data. She collaborates with SAS Institute Inc. on the SAS Academic Specialization. She developed the postgraduate program Data Science in Business at the SGH Warsaw School of Economics, and she is now the head of these studies. The program has attracted graduates willing to develop their analytical skills. She has supervised over 70 master's students, some of whom continue their scientific activities.

Michal Ramsza is an associate professor at the Institute of Mathematical Economics, Collegium of Economic Analysis at the SGH Warsaw School of Economics, Poland. He holds an MSc in Mathematics from the University of Warsaw, a PhD and a DSc in Mathematical Economics from SGH Warsaw School of Economics for his works on the theory of learning in games. He is the head of the Algorithms and Applications Unit.

His research interests focus on game theory, the theory of learning in games, adaptive complex systems, and machine learning. He published research papers with publishers such as Elsevier, Springer, De Gruyter, and World Scientific and authored a book on modeling economic processes using models of learning in games. He has applied these techniques in many finance, industry, and government commercial projects. He has led many trainings in R programming, e.g., in banks, ministries, and the European Commission. He led a project funded by the National Science Center (OPUS--2016/21/B/HS4/03016). He teaches both undergraduate and graduate students. He delivers lectures and labs on game theory, mathematical economics, and R programming, and he is a member of the program board for master's studies in advanced analytics--big data. He supervised some dozen master's students and several doctoral students.

**Ewa Wanda Ziemba** 是波蘭卡托維茲經濟大學的管理學全職教授，也是奧地利薩爾茨堡歐洲科學與藝術學院的普通會員。她的研究專注於可持續發展的數位轉型，並因開發可持續資訊社會的多維框架而享有國際聲譽。

她已發表超過300篇經過同行評審的出版物，包括由Springer和Taylor & Francis出版的書籍，以及在《Journal of Computer Information Systems》、《Sustainable Cities and Society》和《Information Technology & People》等領先期刊上發表的文章。根據史丹佛大學、Elsevier和Scopus的全球研究，2021年她被評選為全球前2%最被引用的科學家。

她主導了超過40個研究項目，目前協調一個由歐盟資助的計畫《TOP4HoneyChains: Trustable and Sustainable Open Platform for Smart Honey Value》，該計畫由波蘭國家研究與發展中心資助（ICTAGRIFOOD/II/67/TOP4HoneyChain/2023），作為歐盟Horizon 2020計畫下的ERA-NET CO-FUND ICT-AGRI-FOOD倡議的一部分。她還主導了一個名為《發展資訊社會可持續發展的系統性方法 - 以波蘭為例》的項目，該項目由波蘭國家科學中心資助（OPUS--2011/01/B/HS4/00974）。

她還擔任多個高影響力學術期刊的主編和審稿人。她的學術成就得到了廣泛認可，並獲得了多項國內和國際獎項。

**Wioletta Grzenda** 是波蘭華沙經濟學院經濟分析學院統計與人口學研究所的副教授。她擁有波蘭盧布林的瑪麗亞·居里-斯克沃多夫斯卡大學的數學博士學位，以及波蘭華沙經濟學院的經濟與金融科學博士學位，研究主題為家庭和職業生涯的貝葉斯建模。她是統計方法與商業分析單位的負責人。

她的研究興趣集中在數據分析上，特別關注統計方法，包括貝葉斯技術、機器學習方法及其在社會經濟現象中的應用。她在Elsevier、Taylor & Francis和Sage等知名出版商的期刊上發表了相關研究論文。此外，她是三本書的作者，並共同撰寫了有關貝葉斯統計、高級統計方法和數據分析編程的書籍。她為《Quality and Quantity》、《Social Indicators Research》和《Statistics in Transition new series》等期刊撰寫了評論。她積極參與國內和國際項目，包括正在進行的項目《Towards a Resilient Future of Europe》--HORIZON-CL2-2022-TRANSFORMATIONS-01。她曾主導一個由國家科學中心資助的項目，名為《使用貝葉斯方法建模平行家庭和職業生涯》（OPUS--2015/17/B/HS4/02064）。

她參與本科生和研究生的教學，講授數據挖掘和持續時間分析等課程。她是高級分析碩士學位課程的計畫委員會成員，並與SAS Institute Inc.合作進行SAS學術專業化。她在華沙經濟學院開發了商業數據科學的研究生課程，並目前擔任該課程的負責人。該課程吸引了希望提升分析技能的畢業生。她已指導超過70名碩士生，其中一些繼續從事科學研究。

**Michal Ramsza** 是波蘭華沙經濟學院數學經濟學研究所的副教授。他擁有華沙大學的數學碩士學位，以及華沙經濟學院的數學經濟學博士和科學博士學位，研究主題為遊戲中的學習理論。他是算法與應用單位的負責人。

他的研究興趣集中在遊戲理論、遊戲中的學習理論、自適應複雜系統和機器學習上。他在Elsevier、Springer、De Gruyter和World Scientific等出版商發表了研究論文，並撰寫了一本有關使用遊戲學習模型建模經濟過程的書籍。他在許多金融、工業和政府商業項目中應用了這些技術。他在銀行、部會和歐洲委員會等地進行了多次R編程的培訓。他主導了一個由國家科學中心資助的項目（OPUS--2016/21/B/HS4/03016）。他教授本科生和研究生，講授遊戲理論、數學經濟學和R編程的課程，並是高級分析碩士學位課程的計畫委員會成員。他指導了十幾名碩士生和幾名博士生。