Data Science, Machine Intelligence, and Law – serie

Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more.

Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more.

This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law.

This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law.

In tomorrow’s vehicles, human beings will merely be passengers – which raises a host of complex legal issues regarding accidents involving self-driving vehicles.

In tomorrow’s vehicles, human beings will merely be passengers – which raises a host of complex legal issues regarding accidents involving self-driving vehicles.

As computational power, the volume of available data, IT systems’ autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the “autonomous systems” phenomena.The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes – including judicial sentencing – also warrant close attention in this regard.Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes.Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors.The authors are legal experts from around the world with extensive academic and/or practical experience in these areas.

As computational power, the volume of available data, IT systems’ autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the “autonomous systems” phenomena.The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes – including judicial sentencing – also warrant close attention in this regard.Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes.Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors.The authors are legal experts from around the world with extensive academic and/or practical experience in these areas.

It covers a wide range of topics, including the common origins of German and English contract law, the pivotal role of intentions as a prerequisite for effectual contracts in both jurisdictions, the classification of and psychological approach to contractual mistakes, and the complexities of AI’s participation in contract law.

This book tries to answer the question “What happens if an AI system makes a mistake while contracting?” by applying an interdisciplinary and comparative legal methodology. It offers a tantalizing glimpse into the intricate web of legal, psychological, and technical phenomena involved, and how they are interconnected within the realm of contractual mistake doctrine as we know it today. It covers a wide range of topics, including the common origins of German and English contract law, the pivotal role of intentions as a prerequisite for effectual contracts in both jurisdictions, the classification of and psychological approach to contractual mistakes, and the complexities of AI’s participation in contract law. Particular attention is paid to the juxtaposition of human- and AI-made mistakes from the perspective of information processing. As a result, the book offers a jurisdiction-agnostic framework for AI-made contractual mistakes that can aid legislators and policymakers in their deliberations on the regulation of AI in contract law. The framework considers cultural and historical differences between German and English contract law, and thus proposes an approach that can fit both (and potentially other similar) jurisdictions with minor adjustments. In addition to these novel discussions, the work explores the views of prominent scholars and international experts in the field. As such, it will appeal to researchers and scholars in the fields of law, technology, psychology, and (especially) Artificial Intelligence. By presenting “a framework for AI-made mistakes in German and English contract law,” Dr. Ismayilzada offers a valuable contribution to the field, inviting readers to explore the uncharted territory of AI and the law. Join the author on this intellectual journey and gain insights that will redefine your perception of contracts in the age of AI.

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;

This open-access volume provides a comprehensive guide to the most pressing challenges arising from the technologies that enable personalized medicine. It brings together theoretical, empirical, and case study-based contributions that span across disciplinary boundaries to examine related problems and propose solutions critically.Personalized medicine is the next frontier in scientific, public health, and commercial advancements. By recognizing the uniqueness of each human body, data-driven treatments and digital, robotic devices are being increasingly developed to enable patients and medical personnel to benefit from highly accurate and personalized diagnoses and therapies. Healthcare customization is based on predictive, preventive, personalized, and participatory elements – each of which requires an interplay between healthcare systems, medical personnel, patients, as well as bioengineers, economists, regulators, lawyers, and business owners. If the goal of more proactive patient inclusion is to enhance the efficacy of personalized medical interventions, it is also paramount to evaluate whether the adoption of customized solutions is sustainable from both economic and organizational perspectives. Legal norms provide the framework in which the development of new medical devices, the sharing of data for the public good, and the provision of healthcare may occur.This area of research and practice is regulated by a complex mix of norms concerning personal and non-personal data, AI governance, cybersecurity, health law, and liability regimes. In ever-evolving domains where some regulations still need to be defined, approved, or implemented, researchers and practitioners need guidance to enable the safe-by-design development of medical technologies.The book is organized in three sections: I) “Facilitating and Protecting Personalized Medicine,” which revolves around the mechanisms that enable the sharing and reuse of health data within the Common European Data Spaces, seeks to address the cybersecurity challenges posed by medical technologies, and critically discusses the definition of scientific research in recent legislative efforts; II) “Scoping Challenges Through the Players in the Personalized Medicine Ecosystem,” which gathers varied interdisciplinary insights from scholars and practitioners in the fields of medicine, economics, engineering, education and compliance; and III) “Challenges of Personalized Medicine for Liability,” which focuses on the challenges that personalized data-driven medicine poses for traditional and novel liability regimes.