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Navigating the EU AI act = a practical guide for global manufacturing and engineering leaders /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Navigating the EU AI act/ by Marcos Kauffman.
其他題名:
a practical guide for global manufacturing and engineering leaders /
作者:
Kauffman, Marcos.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xvii, 142 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-3-031-99613-9
ISBN:
9783031996139
Navigating the EU AI act = a practical guide for global manufacturing and engineering leaders /
Kauffman, Marcos.
Navigating the EU AI act
a practical guide for global manufacturing and engineering leaders /[electronic resource] :by Marcos Kauffman. - Cham :Springer Nature Switzerland :2025. - xvii, 142 p. :ill., digital ;24 cm.
Introduction -- The EU AI Act - Foundations and framework -- Core definitions and risk classifications -- Global implications for non-EU manufacturers -- AI in manufacturing and engineering -- Compliance requirements -- Impact on innovation -- Steps to compliance -- Collaborating with EU partners -- Leveraging technology for compliance -- Case studies - Lessons from the field -- Insights from industry leaders -- Looking ahead -- The ethical imperative.
This book is an essential guide for manufacturers and engineers navigating AI compliance and governance. Artificial intelligence is revolutionising manufacturing and engineering, but with rapid progress, comes greater levels of responsibility and regulatory scrutiny. The EU AI Act is a landmark regulation shaping how businesses develop and deploy AI. Written by Professor Marcos Kauffman, an expert in technology and innovation management, this book provides a practical roadmap to achieving compliance while driving innovation. It covers: AI Risk Classification: Understanding prohibited, high-risk, limited-risk, and minimal-risk AI applications. Regulatory Alignment: Implementing conformity assessments, governance frameworks, and human oversight mechanisms. Industry Case Studies: Lessons from AI in automotive, aerospace, and industrial automation. Technology-Driven Compliance: Leveraging AI auditing tools and compliance dashboards. With step-by-step strategies, real-world examples, and insights from industry leaders, this book transforms compliance from a regulatory burden into an opportunity for innovation and competitive advantage. Whether you are a CTO, engineer, or just starting to apply AI in your business context, this book equips you with the tools to responsibly integrate AI into manufacturing and engineering.
ISBN: 9783031996139
Standard No.: 10.1007/978-3-031-99613-9doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334
Dewey Class. No.: 006.3
Navigating the EU AI act = a practical guide for global manufacturing and engineering leaders /
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This book is an essential guide for manufacturers and engineers navigating AI compliance and governance. Artificial intelligence is revolutionising manufacturing and engineering, but with rapid progress, comes greater levels of responsibility and regulatory scrutiny. The EU AI Act is a landmark regulation shaping how businesses develop and deploy AI. Written by Professor Marcos Kauffman, an expert in technology and innovation management, this book provides a practical roadmap to achieving compliance while driving innovation. It covers: AI Risk Classification: Understanding prohibited, high-risk, limited-risk, and minimal-risk AI applications. Regulatory Alignment: Implementing conformity assessments, governance frameworks, and human oversight mechanisms. Industry Case Studies: Lessons from AI in automotive, aerospace, and industrial automation. Technology-Driven Compliance: Leveraging AI auditing tools and compliance dashboards. With step-by-step strategies, real-world examples, and insights from industry leaders, this book transforms compliance from a regulatory burden into an opportunity for innovation and competitive advantage. Whether you are a CTO, engineer, or just starting to apply AI in your business context, this book equips you with the tools to responsibly integrate AI into manufacturing and engineering.
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