About this book:

This book offers a clear, step‑by‑step walk‑through of the EU AI Act, turning dense legal language into practical guidance that anyone involved with artificial intelligence can understand and apply. Readers will first grasp the Act’s core purpose and scope, learning which AI systems fall under its rules, how risk‑based classification works, and why the legislation focuses on protecting fundamental rights while still encouraging innovation.

From there, the text explains the specific prohibitions that safeguard autonomy, privacy, and non‑discrimination, illustrating with real‑world examples why practices such as social scoring, manipulative AI, and indiscriminate facial recognition are banned. Readers will see how these bans shape the ethical boundaries for AI development and use across sectors.

The guide then details the stringent requirements for high‑risk AI systems, covering risk management, data quality and governance, transparency, human oversight, accuracy, robustness, and cybersecurity. By following the chapters, readers will learn how to build, test, and document AI solutions that meet these standards, and how to implement conformity‑assessment procedures, CE marking, and registration to demonstrate compliance.

Finally, the book explores the roles of every actor in the AI value chain—providers, importers, distributors, deployers, and authorized representatives—showing exactly what obligations each party holds and how to cooperate with notified bodies, authorities, and regulatory sandboxes. Readers will finish equipped with the knowledge to confidently navigate the EU AI Act, ensure their AI projects are trustworthy and legally sound, and contribute to a responsible AI ecosystem in Europe.

What You'll Find Inside:

• The EU AI Act adopts a risk‑based approach, classifying AI systems by their intended use and potential harm, with strict rules for high‑risk applications.
• Certain AI practices are outright banned because they threaten fundamental rights, including subliminal manipulation, social scoring, and real‑time remote biometric identification.
• Providers of high‑risk AI must implement robust risk‑management, data governance, transparency, human oversight, accuracy, robustness, and cybersecurity measures throughout the system’s lifecycle.
• Conformity assessment—either self‑assessment or third‑party evaluation by a notified body—is required before placing high‑risk AI on the market, accompanied by CE marking and registration in the EU database.
• The Act also addresses general‑purpose AI models, systemic risks, regulatory sandboxes, and real‑world testing to foster innovation while safeguarding rights and safety.

Who's It For:

This book is essential for AI system providers, developers, and integrators who need to understand and comply with the EU AI Act’s obligations for high‑risk and general‑purpose AI. It also serves compliance officers, legal advisors, and product managers responsible for conformity assessments, documentation, and market placement. Policymakers, regulators, and anyone involved in deploying AI in sectors such as healthcare, transportation, law enforcement, or critical infrastructure will find practical guidance on risk management, transparency, and oversight. Finally, students and researchers seeking a clear, structured overview of the EU’s approach to trustworthy AI will benefit from the comprehensive explanations and real‑world examples.