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The Challenges of Artificial Intelligence for Law in Europe

The Challenges of Artificial Intelligence for Law in Europe

Author: Marton Varju; Kitti Mezei
Publisher: Springer International
ISBN: 9783031868122

Published In: July 2025
Format: Hardback
Jurisdiction: Switzerland ? Disclaimer:
Countri(es) stated herein are used as reference only

HKD 2,127.00

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Contents

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As artificial intelligence continues to transform our world, Europe stands at the forefront of ensuring this revolutionary technology serves humanity's best interests. This essential volume brings together experts on law, regulation, human rights, ethics, and policy to provide the first comprehensive analysis of Europe's pioneering approach to AI regulation.

From the landmark AI Act to data protection and data governance frameworks, this meticulously curated collection offers unprecedented insights into (1) the delicate balance between the public and private benefits of AI, and the public and private risks it poses; (2) the regulatory policy and regulatory strategy influencing European law-making; (3) the role of ethics and human rights in regulating AI in Europe; (4) the real-world implications of evolving European AI regulation; and (5) future challenges and opportunities in the rapidly evolving AI landscape.

Distinguished contributors from the fields of legal scholarship, policymaking, and legal practice provide unique perspectives on the legal and policy foundations of the AI Act, the Council of Europe Framework Convention, and other international documents; the regulatory design and requirements of the AI Act; the challenges of using AI in adjacent legal and regulatory areas; ethical issues surrounding the technology and their impact on its proliferation in the private and public sectors; and compliance-related challenges and practical solutions in key sectors.

This authoritative work offers invaluable guidance to help legal professionals, researchers, policymakers, and technology executives navigate the complexities of AI regulation at the intersections of innovation, the public and private good, and social control. The volume combines theoretical depth and contextual analysis with practical applicability, making it an indispensable resource for anyone involved in shaping or adapting to Europe's AI regulatory landscape. The book is also essential reading for AI researchers and developers, technology consultants and industry analysts, policymakers and regulators, legal practitioners and compliance officers.

Chapter 1: The Challenges of Artificial Intelligence in the European Legal Space

Chapter 2: Navigating Uncharted Waters - Human Rights and Artificial Intelligence in Emerging International Regulation

Chapter 3: The Principle of Fairness in International AI Law in the Making

Chapter 4: Technology Sovereignty and AI Regulation in the EU: Regulatory Strategy and the Paradox of Choice

Chapter 5: The Ontological Congruency in the EU's Data Protection and Data Processing Legislation: The (Formally) Risk-Based and (Actually) Value/Rights-Oriented Method of Regulation in the AI Act

Chapter 6: Liability for Damage Caused by AI - The AILD and Existing Liability Concepts

Chapter 7: Artificial Intelligence in the Criminal Justice System: Exploring Risks and Opportunities Through the Lens of the European Union's AI Act

Chapter 8: Algorithmic Decision-Making in Migration and Security in the EU: Challenges in Ensuring Effective Legal Remedies

Chapter 9: How Algorithmic Policing Challenges Fundamental Rights Protection in the EU: Lessons from the United Kingdom

Chapter 10: How to Regulate the Use of Algorithms in Sentencing? De Lege Ferenda Postulates

Chapter 11: The FemTech Jacquerie: Situating Co-Creation for Efficient Stewardship in Women's Health vis-a-vis the European Union Artificial Intelligence Act

Chapter 12: Copyright Evaluation for Content Generated by Artificial Intelligence

Chapter 13: The Data Protection Issues of Smart Contracts as Possible Tools for Automated Decision Making

Chapter 14: Towards the Conceptualisation of Big Data Ethics - An Attempt to Visualise Ethical Data Usage by Adopting the Big Data Ethical Matrix

Chapter 15: Bias, Machine Learning and Liability - Can EU Policy Improve the Development of AI Systems?