Cristina Poncibo – författare

The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI compatible with existing legal rules, principles, and democratic values. An international roster of authors including professors of specialized areas of law, technologists, and practitioners bring their expertise to the interdisciplinary nature of AI.

This comprehensive handbook delves into the intricate relationship between artificial intelligence, law, and government regulations in society and business. With a particular focus on consumer-centric issues, chapters analyze the benefits and challenges of the expanding influence of AI systems on consumers, while shedding light on the psychological impact and potential harm posed by AI. Readers will navigate the complexities of tort law and its application to harm caused by AI, explore the legal conundrums arising from consumers utilizing digital delegates as agents, and uncover the innovative ways AI can be harnessed to enforce consumer law. This work is essential reading for anyone seeking to understand the implications of AI on the legal landscape, the future of the consumer marketplace, and the role of consumer law.

The product of a unique collaboration between academic scholars, legal practitioners, and technology experts, this Handbook is the first of its kind to analyze the ongoing evolution of smart contracts, based upon blockchain technology, from the perspective of existing legal frameworks - namely, contract law. The book''s coverage ranges across many areas of smart contracts and electronic or digital platforms to illuminate the impact of new, and often disruptive, technologies on the law. With a mix of scholarly commentary and practical application, chapter authors provide expert insights on the core issues involving the use of smart contracts, concluding that smart contracts cannot supplant contract law and the courts, but leaving open the question of whether there is a need for specialized regulations to prevent abuse. This book should be read by anyone interested in the disruptive effect of new technologies on the law generally, and contract law in particular.

The product of a unique collaboration between academic scholars, legal practitioners, and technology experts, this Handbook is the first of its kind to analyze the ongoing evolution of smart contracts, based upon blockchain technology, from the perspective of existing legal frameworks - namely, contract law. The book''s coverage ranges across many areas of smart contracts and electronic or digital platforms to illuminate the impact of new, and often disruptive, technologies on the law. With a mix of scholarly commentary and practical application, chapter authors provide expert insights on the core issues involving the use of smart contracts, concluding that smart contracts cannot supplant contract law and the courts, but leaving open the question of whether there is a need for specialized regulations to prevent abuse. This book should be read by anyone interested in the disruptive effect of new technologies on the law generally, and contract law in particular.

This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.

This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.

This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.

This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.

In this book a team of expert contributors address challenging issues concerning the relationship between private law and the rule of law and human rights, with specific focus on case studies from South-Eastern Europe.The book examines the broadening application of human rights to the private law fields and the resulting effects. Contributors offer a truly interdisciplinary perspective drawn from comparative law, civil law, procedural law and public law. By so doing, for the first time, they offer insights into the fascinating questions the region poses for private law and human rights.

In this book a team of expert contributors address challenging issues concerning the relationship between private law and the rule of law and human rights, with specific focus on case studies from South-Eastern Europe.The book examines the broadening application of human rights to the private law fields and the resulting effects. Contributors offer a truly interdisciplinary perspective drawn from comparative law, civil law, procedural law and public law. By so doing, for the first time, they offer insights into the fascinating questions the region poses for private law and human rights.

In this book a team of expert contributors address challenging issues concerning the relationship between private law and the rule of law and human rights, with specific focus on case studies from South-Eastern Europe.The book examines the broadening application of human rights to the private law fields and the resulting effects. Contributors offer a truly interdisciplinary perspective drawn from comparative law, civil law, procedural law and public law. By so doing, for the first time, they offer insights into the fascinating questions the region poses for private law and human rights.

In this book a team of expert contributors address challenging issues concerning the relationship between private law and the rule of law and human rights, with specific focus on case studies from South-Eastern Europe.The book examines the broadening application of human rights to the private law fields and the resulting effects. Contributors offer a truly interdisciplinary perspective drawn from comparative law, civil law, procedural law and public law. By so doing, for the first time, they offer insights into the fascinating questions the region poses for private law and human rights.

This edited volume examines how recent technological innovations are transforming European insurance law, focusing on critical issues such as transparency, information duties, fairness, and the regulation of insurance contracts for both professional and private policyholders. While new business models, like digital platforms and robo-advisory services, are rapidly emerging, European law has yet to provide a sufficiently tailored regulatory response. The current sectoral framework, notably Directive (EU) 2016/97 on insurance distribution (IDD), offers a general, principle-based approach, but lacks the specificity needed to effectively address innovative digital insurance distribution models. In parallel, broader regulatory initiatives such as the EU Artificial Intelligence Act (EU AI Act) and the Digital Services Act (DSA) are poised to reshape the digital insurance ecosystem. The EU AI Act introduces horizontal rules governing AI systems, including those used in automated underwriting, risk profiling, and robo-advisory services, thereby directly affecting the design and accountability of algorithmic tools in insurance distribution, especially those deemed high-risk. The DSA imposes new responsibilities on digital platforms, with potential implications for InsurTech firms acting as intermediaries or aggregators. Additionally, there is ongoing uncertainty as to whether existing consumer protection instrument, such as the Unfair Contract Terms Directive (93/13/EEC), the Unfair Commercial Practices Directive (2005/29/EC), and the Omnibus Directive (2019/2161/EC), are sufficient to address the novel risks and challenges posed by digital insurance services. Meanwhile, regulatory guidance from supervisory bodies such as EIOPA and national authorities is increasingly addressing InsurTech-related legal questions in a more targeted manner. By providing a normative and comparative legal analysis, this volume addresses a significant gap in current scholarship. It calls on legal scholars and insurance experts to reassess the role of technology in shaping EU insurance law and to reflect on whether the regulatory principle of technological neutrality remains viable. Ultimately, the book argues for an integrated regulatory approach that aligns socio-technical governance with the specific demands of insurance law, ensuring effective consumer protection in an increasingly digital landscape.