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Author: Alice Giannini Publisher: ISBN: 9789047301721 Category : Artificial intelligence Languages : en Pages : 0
Book Description
AI systems have the capacity to act in a way that can generally be considered as 'criminal' by society. Yet, it can be argued that they lack (criminal) agency - and the feeling of it. In the future, however, humans might develop expectations of norm-conforming behavior from machines. Criminal law might not be the right answer for AI-related harm, even though holding AI systems directly liable could be useful - to a certain extent. This book explores the issue of criminal responsibility of AI systems by focusing on whether such legal framework would be needed and feasible. It aims to understand how to deal with the (apparent) conflict between AI and the most classical notions of criminal law. The occurrence of AI is not the first time that criminal law theory has had to deal with new scientific developments. Nevertheless, the debate on criminal liability of AI systems is somewhat different: it is deeply introspective. In other words, discussing the liability of new artificial agents brings about pioneering perspectives on the liability of human agents. As such, this book poses questions that find their answers in one's own beliefs on what is human and what is not, and, ultimately, on what is right and what is wrong. About the Maastricht Law Series: Created in 2018 by Boom Juridisch and Eleven International Publishing in association with the Maastricht University Faculty of Law, the Maastricht Law Series publishes books on comparative, European and International law. The series builds upon the tradition of excellence in research at the Maastricht Faculty of Law, its research centers and the Ius Commune Research School. The Maastricht Law Series is a peer reviewed book series that allows researchers an excellent opportunity to showcase their work.
Author: Alice Giannini Publisher: ISBN: 9789047301721 Category : Artificial intelligence Languages : en Pages : 0
Book Description
AI systems have the capacity to act in a way that can generally be considered as 'criminal' by society. Yet, it can be argued that they lack (criminal) agency - and the feeling of it. In the future, however, humans might develop expectations of norm-conforming behavior from machines. Criminal law might not be the right answer for AI-related harm, even though holding AI systems directly liable could be useful - to a certain extent. This book explores the issue of criminal responsibility of AI systems by focusing on whether such legal framework would be needed and feasible. It aims to understand how to deal with the (apparent) conflict between AI and the most classical notions of criminal law. The occurrence of AI is not the first time that criminal law theory has had to deal with new scientific developments. Nevertheless, the debate on criminal liability of AI systems is somewhat different: it is deeply introspective. In other words, discussing the liability of new artificial agents brings about pioneering perspectives on the liability of human agents. As such, this book poses questions that find their answers in one's own beliefs on what is human and what is not, and, ultimately, on what is right and what is wrong. About the Maastricht Law Series: Created in 2018 by Boom Juridisch and Eleven International Publishing in association with the Maastricht University Faculty of Law, the Maastricht Law Series publishes books on comparative, European and International law. The series builds upon the tradition of excellence in research at the Maastricht Faculty of Law, its research centers and the Ius Commune Research School. The Maastricht Law Series is a peer reviewed book series that allows researchers an excellent opportunity to showcase their work.
Author: Gabriel Hallevy Publisher: Springer ISBN: 3319101242 Category : Law Languages : en Pages : 262
Book Description
The book develops a general legal theory concerning the liability for offenses involving artificial intelligence systems. The involvement of the artificial intelligence systems in these offenses may be as perpetrators, accomplices or mere instruments. The general legal theory proposed in this book is based on the current criminal law in most modern legal systems. In most modern countries, unmanned vehicles, sophisticated surgical systems, industrial computing systems, trading algorithms and other artificial intelligence systems are commonly used for both industrial and personal purposes. The question of legal liability arises when something goes wrong, e.g. the unmanned vehicle is involved in a car accident, the surgical system is involved in a surgical error or the trading algorithm is involved in fraud, etc. Who is to be held liable for these offenses: the manufacturer, the programmer, the user, or, perhaps, the artificial intelligence system itself? The concept of liability for crimes involving artificial intelligence systems has not yet been widely researched. Advanced technologies are forcing society to face new challenges, both technical and legal. The idea of liability in the specific context of artificial intelligence systems is one such challenge that should be thoroughly explored.
Author: Dennis J. Baker Publisher: Routledge ISBN: 1000210642 Category : Computers Languages : en Pages : 250
Book Description
This volume presents new research in artificial intelligence (AI) and Law with special reference to criminal justice. It brings together leading international experts including computer scientists, lawyers, judges and cyber-psychologists. The book examines some of the core problems that technology raises for criminal law ranging from privacy and data protection, to cyber-warfare, through to the theft of virtual property. Focusing on the West and China, the work considers the issue of AI and the Law in a comparative context presenting the research from a cross-jurisdictional and cross-disciplinary approach. As China becomes a global leader in AI and technology, the book provides an essential in-depth understanding of domestic laws in both Western jurisdictions and China on criminal liability for cybercrime. As such, it will be a valuable resource for academics and researchers working in the areas of AI, technology and criminal justice.
Author: Naval Postgraduate School Publisher: ISBN: Category : Languages : en Pages : 120
Book Description
Artificial intelligence (AI) is a field of research with the potential to radically change society's use of information technology, particularly how personal information will be interconnected and how private lives will be accessible to cybercriminals. Criminals, motivated by profit, are likely to adapt future AI software systems to their operations, further complicating present-day cybercrime investigations. This thesis examines how transnational criminal organizations and cybercriminals may leverage developing AI technology to conduct more sophisticated criminal activities and what steps the homeland security enterprise should take to prepare. Through a future scenario methodology, four scenarios were developed to project how cybercriminals might use AI systems and what should be done now to protect the United States from the malicious use of AI. This thesis recommends that homeland security officials expand outreach initiatives among private industry and academia that are developing AI systems to understand the dual-use implications of emerging AI technology and to provide public security perspectives to AI research entities. Finally, this thesis recommends that federal agencies develop specific initiatives-aligning with existing national cyber and AI strategies-that confront the potential challenge of future, AI-enabled cybercrime.
Author: John McDaniel Publisher: Routledge ISBN: 0429560389 Category : Computers Languages : en Pages : 452
Book Description
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.
Author: Markus Dirk Dubber Publisher: Oxford Handbooks ISBN: 019006739X Category : Business & Economics Languages : en Pages : 896
Book Description
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
Author: Thomas Wischmeyer Publisher: Springer Nature ISBN: 3030323617 Category : Law Languages : en Pages : 391
Book Description
This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
Author: Aleš Završnik Publisher: Springer Nature ISBN: 3031191498 Category : Law Languages : en Pages : 281
Book Description
This book critically explores how and to what extent artificial intelligence (AI) can infringe human rights and/or lead to socially harmful consequences and how to avoid these. The European Union has outlined how it will use big data, machine learning, and AI to tackle a number of inherently social problems, including poverty, climate change, social inequality and criminality. The contributors of this book argue that the developments in AI must take place in an appropriate legal and ethical framework and they make recommendations to ensure that harm and human rights violations are avoided. The book is split into two parts: the first addresses human rights violations and harms that may occur in relation to AI in different domains (e.g. border control, surveillance, facial recognition) and the second part offers recommendations to address these issues. It draws on interdisciplinary research and speaks to policy-makers and criminologists, sociologists, scholars in STS studies, security studies scholars and legal scholars.
Author: Ryan Abbott Publisher: Cambridge University Press ISBN: 1108472125 Category : Business & Economics Languages : en Pages : 165
Book Description
Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
Author: Alice Giannini
Author: Alice Giannini
Author: Gabriel Hallevy
Author: Shuhong Zhao
Author: Dennis J. Baker
Author: Naval Postgraduate School
Author: John McDaniel
Author: Markus Dirk Dubber
Author: Thomas Wischmeyer
Author: Aleš Završnik
Author: Ryan Abbott