
AI in European Law
A Deep View- Editors:
- | |
- Series:
- Luxemburger Juristische Studien - Luxembourg Legal Studies, Volume 28
- Publisher:
- 2026
Summary
How well is European law equipped to govern artificial intelligence? This edited volume pursues that question across several sectors: tax administration, the workplace, competition and data sharing, access to justice, legal personhood, financial fraud, and smart contracts. It combines doctrinal analysis with real-world cases to reveal where the EU AI Act protects fundamental rights and where critical gaps remain. The book treats AI regulation not as a technical exercise but as a normative project balancing innovation, democratic control, and rights.
With contributions by Théo Antunes | Arthur Bianco | Elif Biber | Grazia Bruzzese | Herwig Hofmann | Isabella Lorenzoni | Anna Moraiti | Kalliopi Terzidou | Zahra Yusifli This Title is also Available as Open Access.
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Bibliographic data
- Edition
- 1/2026
- Copyright Year
- 2026
- ISBN-Print
- 978-3-7560-3906-7
- ISBN-Online
- 978-3-7489-6930-3
- Publisher
- Nomos, Baden-Baden
- Series
- Luxemburger Juristische Studien - Luxembourg Legal Studies
- Volume
- 28
- Language
- English
- Pages
- 233
- Product Type
- Edited Book
Table of contents
- Acknowledgments
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- The Purpose of the Book
- Structure of the Volume and Key Themes
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- 1. The use of AI by tax administrations: an undeniable reality
- 2.1. What is the AI Act and what are its purposes?
- 2.2. How does the AI Act achieve those aims, and why does it choose to do so?
- 3.1. Unacceptable risks systems
- 3.2. High Risks AI
- 3.3. Low-Risk AI systems
- 3.4. Why are AI systems in tax administrations are excluded from protections?
- 4.1. Future possibilities for applicability
- 4.2. Assessment of the usefulness of the protections for tax purposes
- 5. Conclusion
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- 1. Introduction: AI systems for workplace management
- 2.1 Prohibited practices under the AI Act
- 2.2 Employers as deployers and providers of HRAIS
- 2.3 Workers and the HRAIS
- 3.1 Assessment of health, safety and fundamental rights
- 3.2.1 Fragmentation of decision-making by AI Systems
- 3.2.2 Limitations of the Regulatory Framework
- 3.3 Profiling of natural persons
- 4. Discussion and Conclusion
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- 1. Introduction
- 2. The importance of data as input and output for modern business models
- 3.1 Data-driven theories of harm
- 3.2 Data as an essential facility: ex post B2B data sharing
- 3.3 Ex ante B2B data sharing
- 4.1. Imposing B2G data sharing
- 4.2. Enhancing G2G data sharing
- 5. Conclusions
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- 1. Introduction
- 2. A Human-Centric Design
- 3. Human-Centric Design of AI-Based Legal Aid Applications
- 4.1 Readability
- 4.2 User-friendliness
- 4.3 Quality of Information
- 4.4 Actionable Information
- 4.5 Citations
- 4.6 Disclaimers
- 5. LLM-based Chatbots for Court Services
- 6. Conclusion
- Annex I
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- 1. Introduction
- 2. Central Arguments in Favour of Punishing Autonomous AI Systems
- 3.1 The Risk of Performing an Empty Imputation
- 3.2 The Risk of Altering the Nature of Criminal Responsibility
- 3.3 On the Morality and Intelligence of AI Systems
- 4.1 On the Bundle Theory of Rights
- 4.2 The Notion of ‘Machine Behaviour’ and the Related Proposed Liability Regimes
- 5. Concluding Remarks
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- Introduction – From bottomry to phishing: 2500 years of fraud
- 1. Defining fraud in the digital age era: Setting the scene for AI-based countermeasures
- 2.1. Defining the subject
- 2.2. On the various shades of digital payment fraud
- 3. Beyond human eyes: AI’s fight against digital payment fraud
- 3.1. Every rose has its thorn: On the advantages and challenges of ML payment fraud detection tools
- 3.2. Sharing is caring?
- Conclusion
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- 1. Principles of formation and execution of securities in Luxembourg.
- 2. Smart contract and securities: What are we talking about?
- 1. A European dynamic
- 2. A Luxembourgish dynamic
- 1. From contractual clauses to computer code
- 2. The Automation, the immutability, and the delegation
- 1. The formation of securities with a smart contract
- 2. The execution of securities through a smart contract
- 1. Guidelines for forming the securities with a smart contract.
- 2. Guidelines for executing securities with a smart contract.
- B. Regulatory perspectives under Luxembourg law
- IV. Conclusion
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- I. Human-Centeredness, Fundamental Rights and AI
- 1. The Missing Dialogue – an Illustration
- 2. The Human Oversight and the Fundamental Rights Impact Assessment Obligations
- 3. The Missing Dialogue in Enforcement Procedures: Conformity Assessment Procedures and the ‘Rights’ under the AI Act
- III. Bridging the Gaps : How to Concretise the European Human-Centric Approach to Artificial Intelligence
- V. Concluding Remarks
- ContributorsPages 231 - 232 Download chapter (PDF)





