Leading with AI in the EU

Governance, Practices, and Compliance
1. Auflage 2026
ISBN: 978-3-11-225409-7
Verlag: De Gruyter

Buch, Englisch, 170 Seiten, Format (B × H): 170 mm x 240 mm

Reihe: De Gruyter Textbook

As the European environment is shaped by data protection rules, sector regulation, social expectations, and increasing demands for accountability, many leaders find themselves caught between optimistic technology narratives and fragmented guidance for successful adoption. This book offers a practical and accessible guide for navigating that gap. Rather than focusing on tools or coding, it treats generative AI as a managerial and organisational challenge. It explains how these systems work at a conceptual level, then shows how they can be integrated into real business and public-sector contexts without undermining trust, legal certainty, or institutional coherence. Topics include value creation, use-case selection, lifecycle management, risk, governance, and compliance under the EU AI Act.
Written for non-specialists, the book equips executives, managers, and policy-aware professionals
with clear decision frameworks and shared language. Its central message is simple: in Europe,
successful generative AI adoption is not about moving faster, but about building systems that remain
effective, legitimate, and resilient over time.

Autoren/Hrsg.

Buscemi, Alessio

Proverbio, Daniele

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Alessio Buscemi is a senior AI scientist working on the assessment and governance of AI systems and agents, holding a PhD in Computer Engineering and an MBA. His work focuses on bias testing, robustness, and transparency under regulatory constraints, which he leads with industrial partners and institutions in Luxembourg and across Europe. His projects span banking, smart cities, and public administration, and he teaches MBA courses on responsible leadership with AI at Collège des Ingénieurs. He serves as a National Expert in AI at the Luxembourg standardisation body (ILNAS).

Daniele Proverbio is a researcher bridging deep technical work and business strategy, holding a PhD in Computational Sciences and an MBA. His research focuses on the resilience, reliability, and alignment of AI and complex systems, with numerous academic publications in the field. He has also worked to make complex science accessible beyond academia, including for the Luxembourg National COVID-19 Taskforce and the Italian newspaper La Repubblica. He is a Council Member of the Complex Systems Society and a member of the Sigma Xi honorary scientific society.