Advances and Challenges of Applying Ai/Genai in Design and Process Science: The 2024 International Conference of the Society for Design and Process Sc
暫譯: 設計與過程科學中應用AI/生成AI的進展與挑戰：2024年設計與過程科學學會國際會議

本書呈現了第25屆設計與流程科學學會會議（SDPS 2024）的會議紀錄，該會議於2024年10月6日至9日在意大利博洛尼亞舉行。2024年的會議重點在於生成式人工智慧（Generative Artificial Intelligence, GenAI）及其對學術界和產業的影響。論文集中於GenAI所帶來的世代挑戰，業界領袖一致認為這構成了一場自工業革命以來未曾見過的技術變革。會議強調，隨著AI/GenAI社群以快速的步伐創造出大量新的機會，隨之而來的挑戰也包括對於設計、流程、研究和工程的理解不足及不成熟的設計，同時也暴露了正式的AI/GenAI設計和流程教育中的空白。作者們還討論了對未知的AI/GenAI技術的普遍恐懼，以及系統模糊性和隱藏的複雜性。作者的目標是提出解決方案，以幫助在這些關鍵環境中（例如醫療、金融、網絡防禦等）減輕風險。為了更好地為開發者和現代商業領袖提供創新、減輕風險和利用AI/GenAI新進展的指導，設計與流程科學學會（SDPS）將先進的學術研究社群與產業結合，以更質性地利用正式的AI/GenAI設計和流程的力量，加速科學和商業的發展。

Elisabetta Ronchieri is a computer scientist working as a researcher at the Italian National Institute for Nuclear Physics (INFN). She is currently a member of the Distributed System (DS) group in the Software Development and Distributed Systems (SDDS) department at INFN CNAF, the INFN National Center dedicated to research and development on IT technologies, located in Bologna, Italy. She is constantly collaborating with students, colleagues and international collaborators (her publications are available on request). In the latest years, Dr. Ronchieri has started collaborating with the University of Bologna as Adjunct Professor for Machine Learning courses. Dr Ronchieri held a PhD in Automation, Bioengineering and Robotics from the University of Pisa (2007), Msc in Computer Engineering from the University of Pisa. Her research topics are related to anomaly detection and text analysis, exploring new AI solutions.

John Carbone has served the defense industry as an Engineering Fellow, Chief Science Advisor, Technology Director, Chief Engineer for Innovation, Chief Data Scientist, and Applied AI with AI Ethics and AI Security, as well as, Advanced Data Science as Adjunct Professor at Southern Methodist and Baylor University for over 35 years. His national and international innovations/patents were instrumental in forging bridges between Cloud and Big Data/Cloud warfighting architectures, C5ISR enterprise, MDA Non-Kinetic ISR Algorithms, MESH comms architectures, UAV Sensor Fusion, JADC2 dominance focused 5G designs, dynamic DDIL communications, AI/behavior-based, and recent Space-based SDWAN & cross domain cyber security. Dr. Carbone currently serves as Senior Technical Director & Chief CIP Solutions Architect @ Forcepoint, LLC, Global Governments and Critical Infrastructure while developing and teaching transformational master's and PhD curriculum on Applied Artificial Intelligence, Self-Learning Machines, and Applied Data Science at Baylor and Southern Methodist University. Dr. Carbone has a 100+ AI, Engineering, and Data Science publications incl. AI based Cyber Security, Mining Big Data to Improve National Security, Multi-Disciplinary Systems Engineering, and Applied Cyber Physical Systems to name a few, His newest book by Springer Publishing regarding AI, chatbots, and Large Language Models is "Chatbots, The good, The Bad, and The Ugly"

Patrick Then heads School of Information and Communication Technologies at Swinburne University of Technology Sarawak Campus and program leader of Health Data Analytics at Swinburne Melbourne Data Science Institute. He is the founder and director of Swinburne Sarawak's Centre for Digital Futures. He is the thought leader in health informatics and digital health research and development. He demonstrated translational research from fundamental research to solving real-life cardiac challenges faced by clinicians and patients. He has been a plenary speaker of various national conferences in digital health. One of his digital health in cough sound artificial intelligence was rolled out to the whole nation in October 2022. The cough sound AI platform is specialised to detect respiratory diseases ranging from covid19 to asthma.

Dr Radmila Juric is an SDPS fellow, with 30+ years of experience as an academic, working in the UK Higher Education, in various capacities: from lecturing, course development and management, and academic quality assurance, to research management, supervision, and editorial jobs. Dr Juric has published extensively, contributed towards academic events in various roles, delivered talks in academia and in industry and encouraged young scholars to undertake interdisciplinary research, which she has been passionately promoting for decades. Her research interest is wide and spans decades of publishing on software interoperability, semantic technologies, software architectures, pervasive computational environments, translational bioinformatics and current format of AI. Over the last five years Dr Radmila Juric has focused on current trends in computing, which range from intelligent computational edge, computing continuum and human machine augmentation to addressing problems of obscurity, explainability and bias of AI algorithms and the way we evaluate AI models. The synergy of logic and predictive inference, emerging from learning technologies, has triggered her interests in addressing emerging problems in transdiagnostic dimension of mental health disorders and computational psychiatry and modelling the semantic of prompting mechanisms in generative AI.

艾莉莎貝塔·隆基耶里（Elisabetta Ronchieri）是一位計算機科學家，目前在意大利國家核物理研究所（INFN）擔任研究員。她目前是INFN CNAF的軟體開發與分散式系統（SDDS）部門的分散式系統（DS）小組成員，該中心專注於IT技術的研究與開發，位於意大利博洛尼亞。她不斷與學生、同事及國際合作者合作（她的出版物可應要求提供）。近年來，隆基耶里博士開始與博洛尼亞大學合作，擔任機器學習課程的兼任教授。隆基耶里博士擁有比薩大學（University of Pisa）自動化、生物工程和機器人學的博士學位（2007年），以及比薩大學的計算機工程碩士學位。她的研究主題與異常檢測和文本分析有關，探索新的人工智慧解決方案。

約翰·卡本（John Carbone）在國防產業擔任過工程研究員、首席科學顧問、技術總監、創新首席工程師、首席數據科學家及應用人工智慧專家，並在南方衛理大學（Southern Methodist University）和貝勒大學（Baylor University）擔任高級數據科學的兼任教授，已有超過35年的經驗。他的國內外創新/專利在雲端與大數據/雲端作戰架構、C5ISR企業、MDA非動能ISR算法、MESH通訊架構、無人機傳感器融合、以JADC2主導的5G設計、動態DDIL通訊、基於人工智慧/行為的解決方案，以及最近的基於空間的SDWAN和跨域網絡安全方面發揮了重要作用。卡本博士目前擔任Forcepoint, LLC的高級技術總監及首席CIP解決方案架構師，專注於全球政府和關鍵基礎設施，同時在貝勒大學和南方衛理大學開發和教授應用人工智慧、自學機器和應用數據科學的轉型碩士及博士課程。卡本博士擁有超過100篇的人工智慧、工程和數據科學出版物，包括基於人工智慧的網絡安全、挖掘大數據以改善國家安全、多學科系統工程和應用網絡物理系統等。他最新的書籍由施普林格出版，主題涉及人工智慧、聊天機器人和大型語言模型，書名為《聊天機器人：好、壞與醜》。

帕特里克·滕（Patrick Then）是斯威本科技大學沙捲校區（Swinburne University of Technology Sarawak Campus）資訊與通信技術學院的院長，以及斯威本墨爾本數據科學研究所健康數據分析計劃的負責人。他是斯威本沙捲數位未來中心的創始人和主任。他在健康資訊學和數位健康研究與開發方面是思想領袖。他展示了從基礎研究到解決臨床醫生和患者面臨的實際心臟挑戰的轉化研究。他曾在多個數位健康的全國會議上擔任全體演講者。他的一項針對咳嗽聲音的人工智慧數位健康技術於2022年10月在全國推廣。該咳嗽聲音人工智慧平台專門用於檢測從COVID-19到哮喘的呼吸疾病。

拉德米拉·尤里奇博士（Dr. Radmila Juric）是SDPS的研究員，擁有超過30年的學術經驗，曾在英國高等教育機構擔任多種職位：從講師、課程開發和管理、學術質量保證，到研究管理、監督和編輯工作。尤里奇博士發表了大量的學術著作，並在各種角色中為學術活動做出貢獻，曾在學術界和產業界發表演講，並鼓勵年輕學者進行跨學科研究，這是她數十年來熱情推廣的主題。她的研究興趣廣泛，涵蓋了數十年來在軟體互操作性、語義技術、軟體架構、普遍計算環境、轉化生物信息學和當前人工智慧形式的出版。過去五年，尤里奇博士專注於計算領域的當前趨勢，這些趨勢包括智能計算邊緣、計算連續體和人機增強，並解決人工智慧算法的模糊性、可解釋性和偏見問題，以及我們評估人工智慧模型的方式。邏輯與預測推理的協同作用，源於學習技術，激發了她對解決心理健康障礙的跨診斷維度和計算精神病學中出現的問題的興趣，並對生成式人工智慧中的提示機制語義進行建模。