Human-Centered Artificial Intelligence For Industrial Safety
暫譯: 以人為本的人工智慧在工業安全中的應用
Rosak-Szyrocka, Joanna, Wolniak, Radoslaw, Grebski, Michalene Eva
- 出版商: CRC
- 出版日期: 2026-09-22
- 售價: $4,780
- 貴賓價: 9.5 折 $4,541
- 語言: 英文
- 頁數: 189
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041269528
- ISBN-13: 9781041269526
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
This book examines the transformative role of artificial intelligence (AI) in industrial safety, focusing on the shift from traditional reactive systems to proactive, predictive safety architectures in smart factories. It explores how AI technologies, including machine learning, computer vision, biometrics, wearables, augmented reality, and digital twins, are revolutionising occupational health and safety across industries such as manufacturing, logistics, energy, aviation, and construction. The book highlights the integration of AI-enabled safety systems, addressing real-time risk monitoring, predictive maintenance, employee well-being, and accident prevention. It also delves into the ethical, legal, and regulatory implications of AI in safety-critical systems, including GDPR compliance, algorithm transparency, and ISO 45001 standards. Case studies from global companies like Siemens, Boeing, Samsung, and INVISTA provide practical insights into implementation, challenges, and outcomes.
商品描述(中文翻譯)
本書探討人工智慧（AI）在工業安全中的變革性角色，重點關注從傳統的反應系統轉向智慧工廠中的主動預測安全架構。它探討了包括機器學習、計算機視覺、生物識別、可穿戴設備、擴增實境和數位雙胞胎等AI技術如何在製造、物流、能源、航空和建築等行業徹底改變職業健康與安全。書中強調了AI驅動的安全系統的整合，涵蓋實時風險監控、預測性維護、員工福祉和事故預防。它還深入探討了AI在安全關鍵系統中的倫理、法律和監管影響，包括GDPR合規性、算法透明度和ISO 45001標準。來自西門子、波音、三星和INVISTA等全球公司的案例研究提供了實施、挑戰和結果的實用見解。
作者簡介
Joanna Rosak-Szyrocka is an Assistant Professor at the Faculty of Management at Częstochowa University of Technology. Her research interests focus on quality management and process improvement, increasingly linked to digital transformation in industry 4.0 and Quality 4.0 concepts, as well sustainability-oriented management topics such as ESG and responsible innovation. In her scientific output, she addresses organizational and technological determinants of efficiency and quality in manufacturing and service settings, often emphasizing how data-driven tools (e.g., digital quality systems, analytics, and AI-related solutions) can support continuous improvement and sustainable performance. She has been listed in Stanford University's ranking of the World's Top 2% Scientists.
Radoslaw Wolniak is Full Professor at the Department of Economics and Informatics at the Silesian University of Technology (Poland). For over two decades he has been dealing with the issues of quality management, Industry 4.0 and Smart City. He has been listed in Stanford University's ranking of the World's Top 2% Scientists.
Michalene Eva Grebski is Instructor of Psychology at the Colorado Mesa University. She teaches Psychology and Human Growth and Development courses. Michalene Grebski has a multicultural educational background and believes in a holistic, multidisciplinary approach to education. In her classes, she promotes a democratized, risk-taking culture as well as lateral thinking.
作者簡介(中文翻譯)
喬安娜·羅薩克-希羅卡是恰斯托霍瓦科技大學管理學院的助理教授。她的研究興趣集中在品質管理和流程改進，這些主題越來越與工業4.0和品質4.0概念中的數位轉型相關聯，以及以可持續性為導向的管理主題，如ESG和負責任的創新。在她的科學成果中，她探討了製造和服務環境中效率和品質的組織及技術決定因素，並經常強調數據驅動工具（例如數位品質系統、分析和與AI相關的解決方案）如何支持持續改進和可持續績效。她被列入史丹佛大學全球前2%科學家的排名中。
拉多斯瓦夫·沃爾尼亞克是波蘭西里西亞科技大學經濟學與資訊學系的正教授。二十多年來，他一直在研究品質管理、工業4.0和智慧城市的相關議題。他也被列入史丹佛大學全球前2%科學家的排名中。
米哈琳·伊娃·格雷布斯基是科羅拉多梅薩大學的心理學講師。她教授心理學和人類成長與發展課程。米哈琳·格雷布斯基擁有多元文化的教育背景，並相信教育應採取整體性和多學科的方法。在她的課堂上，她提倡民主化、冒險的文化以及橫向思維。
