Artificial Intelligence And Criminal Law

This book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law.

With the growing capabilities of artificial intelligence, governments are integrating AI technologies into administrative and even judicial decision-making, aiding and in some cases even replacing human decision-makers. Predictive policing, automated benefits administration, and automated risk assessment in criminal sentencing are but a few prominent examples of a general trend. While the turn towards governmental automated decision-making promises to reduce the impact of human biases and produce efficiency gains, reducing the human element in governmental decision-making also entails significant risks. This book analyses these risks through a comparative constitutional law and human rights lens, examining US law, German law, and international human rights law. It also highlights the structural challenges that automation poses for legal systems built on the assumption of exclusively human decision-making. Special attention is paid to the question whether existing law can adequately address the lack of transparency in governmental automated decision-making, its discriminatory processes and outcomes, as well as its fundamental challenge to human agency. Building on that analysis, it proposes a path towards securing the values of human dignity and agency at the heart of democratic societies and the rule of law in an increasingly automated world. This book will be of interest to researchers and scholars focusing on the evolving relationship of law and technology as well as human rights scholars. Further, it represents a valuable contribution to the debate on the regulation of artificial intelligence and the role human rights can play in that process.

This book embarks on a comprehensive exploration of the jurisdiction of the International Criminal Court (ICC) and elucidates the three foundational aspects of its jurisdiction as laid out in the Rome Statute: the preconditions for exercising jurisdiction (Article 12 ICCRSt), its substantive competence regarding core crimes (Articles 5-8bis ICCRSt), and the principle of complementarity (Article 17§1(a) ICCRSt).

The handbook presents an overview of Industry 4.0 and offers solutions for important practical questions. The law and its current challenges regarding data assignment (who owns the data? / EU guidelines), data security, data protection (General Data Protection Regulation), cyberattacks, competition law (right to access vs. monopolists, permissible and prohibited exchanges of information, possible collaborations) is the point of departure. In turn, the book explores peculiarities in specific areas of Industry 4.0 (Internet of Production, mechanical engineering, artificial intelligence, electromobility, autonomous driving, traffic, medical science, construction, energy industry, etc.). The book’s closing section addresses general developments in management, the digital transformation of companies and the world of work, and ethical questions.

The main theme of this volume of the Yearbook of International Humanitarian Law is weapons law. In several chapters, how International Humanitarian Law (IHL) copes with old and new weapons as well as political developments in regard to military technology is discussed, while in two chapters the significance of non- or less-lethal weapons in peace-keeping and law enforcement operations as well as the legality of lethal autonomous weapon systems under IHL are analysed. Moreover, the volume describes the current status of nuclear deterrence under international law. Another layer is added by examining how IHL influences the programming of automatic target recognition systems using artificial intelligence.