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.

Autorentext

Marcos Kauffman, LLB Hons, FIKE, Ph.D., is Professor in technology and innovation management, currently serving as Director of the Institute for Advanced Manufacturing and Engineering (AME) and the Research Centre Director for the Research Centre of Manufacturing and Materials (CMM) at Coventry University. With a strong academic background and over 15 years of experience in senior roles across the UK automotive manufacturing industry, Professor Kauffman has successfully led and delivered numerous cross-disciplinary research, technology development, innovation, and commercialisation projects. Since joining AME in 2016, Professor Kauffman has overseen over 20 grant funded research projects spanning digital transformation, manufacturing business model innovation, new-product introduction, IP management in manufacturing and digital twins. His work has spanned various sectors, technologies, and disciplines, integrating academic research and commercialisation activities with applied industrial solutions.