Criminal Behavior And Accountability Of Artificial Intelligence Systems
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| Author | : Alice Giannini |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-11-24 |
| Genre | : Artificial intelligence |
| ISBN | : 9789047301721 |
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 |
| Total Pages | : 262 |
| Release | : 2014-11-06 |
| Genre | : Law |
| ISBN | : 3319101242 |
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 | : Shuhong Zhao |
| Publisher | : Springer Nature |
| Total Pages | : 123 |
| Release | : |
| Genre | : |
| ISBN | : 9819707226 |
| Author | : Dennis J. Baker |
| Publisher | : Routledge |
| Total Pages | : 250 |
| Release | : 2020-10-29 |
| Genre | : Computers |
| ISBN | : 1000210642 |
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 | : |
| Total Pages | : 120 |
| Release | : 2019-03 |
| Genre | : |
| ISBN | : |
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 | : Markus D. Dubber |
| Publisher | : Oxford University Press |
| Total Pages | : 1000 |
| Release | : 2020-06-30 |
| Genre | : Law |
| ISBN | : 0190067411 |
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
| Author | : John McDaniel |
| Publisher | : Routledge |
| Total Pages | : 452 |
| Release | : 2021-02-25 |
| Genre | : Computers |
| ISBN | : 0429560389 |
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 | : Thomas Wischmeyer |
| Publisher | : Springer Nature |
| Total Pages | : 391 |
| Release | : 2019-11-29 |
| Genre | : Law |
| ISBN | : 3030323617 |
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 |
| Total Pages | : 281 |
| Release | : 2023-01-12 |
| Genre | : Law |
| ISBN | : 3031191498 |
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 | : Paolo Massimo Buscema |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 522 |
| Release | : 2012-11-28 |
| Genre | : Social Science |
| ISBN | : 9400749147 |
This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.
