Managing and Understanding Artificial Intelligence: From Classical to Generative AI: A Practice Guide for Decision-Makers, Developers and Regulators i
暫譯: 管理與理解人工智慧：從傳統到生成式AI的實務指南，供決策者、開發者與監管者使用

Dr. Thomas Schmid is a computer scientist who has been developing AI methods and applications for more than fifteen years. He researches and teaches as W1 professor for digital research methods in medicine at Martin Luther University Halle-Wittenberg and as lecturer at Lancaster University in Leipzig. After studying bioinformatics in Tübingen, Gaborone and Berlin, he moved to Leipzig to develop a novel biomedical application based on neural networks. Following a research stay in the United States and pursuing a PhD in computer science from Leipzig University, Thomas established the machine learning research group there in 2018. His current research interests include hybrid AI, deep learning, and biomedical applications of machine learning. Thomas serves frequently as reviewer for international research journals and conferences, referee for funding bodies, and expert in national and international standardization projects. He is a founder of the annual Leipzig Symposium on Intelligent Systems (LEISYS) and has been serving as its chair since 2021. Thomas' academic expertise of artificial intelligence concepts and his in-depth knowledge of state-of-the-art AI technologies were instrumental in shaping the scientific concept of the AI=MC² taxonomy.

Dr. Wolfgang Hildesheim is a high-energy physicist by background and spent several years conducting research at the CERN and DESY research centers. In 2007, he took over the management of the 'Automotive, Aerospace and High Tech Practice' at IBM. From 2009, he led IBM's 'Big Data Industry Solution Business' in Europe and supported companies in the development of data-driven business models using advanced analytics. Since 2012 he is jointly responsible for the foundation as well as the development of IBM's business unit 'Watson, Data Science & Artificial Intelligence' in Europe in various technical and sales roles. Wolfgang Hildesheim is a regular speaker at conferences and an editor of publications on the topic of Artificial Intelligence. Furthermore, he is actively involved in AI standardization, among others as a member of the coordinating group of the German Standardization Roadmap 'Artificial Intelligence'. Wolfgang Hildesheim is on the board of BitKom's Artificial Intelligence Working Group as well as the corresponding committee 'Artificial Intelligence' of the German Institute for Standardization. In collaboration with industry, research and politics, he is involved as a delegate to the European committee CEN-CENELEC JTC 21 'Artificial Intelligence' in establishing a classification scheme for the homogeneous description of Artificial Intelligence throughout all European Union member states.

Taras Holoyad is an electrical engineer and works at the Federal Network Agency in Mainz in the area of AI standardization. After studying electrical engineering and graduating from the Technical University of Braunschweig, he initially designed electrical machines for road vehicles in the automotive industry before subsequently moving to the main regulatory authority in Germany. In his day-to-day work, Taras has shaped the standardization of AI worldwide as vice chair of the ETSI TC "Methods for testing and specification" committee and project leader for the ISO/IEC 42102 "Taxonomy of AI system methods and capabilities" standard.

托馬斯·施密德博士是一位計算機科學家，擁有超過十五年的人工智慧（AI）方法和應用開發經驗。他在馬丁·路德大學哈雷-維滕堡擔任數位研究方法在醫學領域的W1教授，並在萊比錫的蘭卡斯特大學擔任講師。在圖賓根、哈博羅內和柏林學習生物資訊學後，他移居萊比錫，開發基於神經網絡的新型生物醫學應用。在美國進行研究並獲得萊比錫大學計算機科學博士學位後，托馬斯於2018年在該校成立了機器學習研究小組。他目前的研究興趣包括混合AI、深度學習和機器學習的生物醫學應用。托馬斯經常擔任國際研究期刊和會議的審稿人，資助機構的評審，以及國內外標準化項目的專家。他是年度萊比錫智能系統研討會（LEISYS）的創始人，自2021年以來擔任其主席。托馬斯在人工智慧概念的學術專業知識以及對最先進AI技術的深入了解，對於塑造AI=MC²分類法的科學概念起到了重要作用。

沃爾夫岡·希爾德海姆博士是一位高能物理學家，曾在CERN和DESY研究中心進行多年研究。2007年，他接管了IBM的「汽車、航空航天和高科技實踐」部門的管理工作。自2009年起，他在歐洲領導IBM的「大數據行業解決方案業務」，並支持公司利用先進分析開發數據驅動的商業模式。自2012年以來，他在各種技術和銷售角色中共同負責IBM在歐洲的「沃森、數據科學與人工智慧」業務單位的成立和發展。沃爾夫岡·希爾德海姆經常在會議上發言，並擔任有關人工智慧主題的出版物編輯。此外，他還積極參與AI標準化工作，擔任德國標準化路線圖「人工智慧」的協調小組成員。沃爾夫岡·希爾德海姆是BitKom人工智慧工作組的董事會成員，以及德國標準化研究所「人工智慧」對應委員會的成員。與行業、研究和政治界合作，他作為代表參與歐洲委員會CEN-CENELEC JTC 21「人工智慧」，建立一個分類方案，以便在所有歐盟成員國中對人工智慧進行統一描述。

塔拉斯·霍洛亞德是一位電氣工程師，任職於美因茨的聯邦網絡局，專注於AI標準化。在布倫瑞克工業大學學習電氣工程並畢業後，他最初在汽車行業設計道路車輛的電氣機械，隨後轉至德國的主要監管機構。在日常工作中，塔拉斯作為ETSI TC「測試和規範方法」委員會的副主席和ISO/IEC 42102「AI系統方法和能力分類法」標準的項目負責人，對全球AI的標準化產生了影響。