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Artificial Intelligence and Security: 5th International Conference, ICAIS 2019, New York, NY, USA, July 26–28, 2019, Proceedings, Part IV (Lecture Notes in Computer Science #11635)
by Elisa Bertino Xingming Sun Zhaoqing PanThe 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS.The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.
Artificial Intelligence and Tortious Liability: Case Study of Bosnia and Herzegovina (European Union and its Neighbours in a Globalized World #21)
by Nasir MuftićThis book examines whether current liability systems can handle cases involving artificial intelligence (AI). It questions whether general liability rules, designed to be technology-agnostic, are adequate for AI-related accidents. While focusing on Bosnia and Herzegovina, it addresses issues relevant across Europe, offering answers based on common principles and tort law rules.The book begins with an introduction to AI technology and associated civil law challenges regarding e.g. autonomy, data importance, and non-transparency. It then discusses the broader context of civil law issues, the role of liability systems, rule-making levels and timing, and ancillary mechanisms like insurance and safety standards. The bases of liability in Bosnia and Herzegovina are examined, including objective and subjective liability, product liability, and vicarious liability. The allocation of liability is also addressed, focusing on AI&’s autonomy and loss of user control, and evaluating traditional liability allocation principles. Finally, the book analyzes why those harmed by AI might be worse off than those affected by conventional adverse events.
Artificial Intelligence and the Future of International Law: Bridging Rights, Trade, and Arbitration (SpringerBriefs in Law)
by Abbas PoorhashemiImagine a future of international law in which artificial intelligence reshapes human rights, trade, and arbitration. This work deals with the most burning issues of our times: how AI is no longer a tool but the force of transformation par excellence for global governance. Leading scholars and practitioners bring together an informed analysis of the challenges and opportunities artificial intelligence brings to the legal landscape. The text takes a comprehensive dimension - from ethical dilemmas to technical hurdles - by going in-depth concerning every chapter on what AI can do for international law. Whether researcher, legal professional, or policymaker, there is much to learn from these insights and how they shape the view of the role AI could potentially play within the law and redefine what justice looks like on a global scale. Prepare to be challenged, enlightened, and inspired by a work that dares to ask the hard questions - and teases at the answers waiting just beyond the horizon.
Artificial Intelligence and the Law
by Tshilidzi Marwala Letlhokwa George MpediThis textbook offers a starting point for the education of attorneys and other legal professionals about the potential impact of artificial intelligence (AI) on the law, as well as a forum for discussing artificial intelligence's legal and ethical concerns. Intended for classroom use, this book will help students, legal professionals and policymakers alike. AI is swiftly transforming the world, including the legal system. Legal applications to areas such as ethics, human rights, climate change, labor law, health, social protection, inequality, lethal autonomous weapons, the criminal justice system and autonomous vehicles, contract drafting, legal investigation, criminal analysis and evidence investigation, utilize AI. As AI becomes more sophisticated, its impact on the law will likely increase.
Artificial Intelligence and the Law: Cybercrime and Criminal Liability
by Dennis J. Baker Paul H. RobinsonThis 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.
Artificial Intelligence and the New World Order: New weapons, New Wars and a New Balance of Power (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications)
by Fatima RoumateThis book discusses the implications of artificial intelligence (AI) on post-COVID-19 international relations. With the decline and fall of U.S. global leadership and the emergence of new powerful actors, as hastened by the global pandemic, new arms are now used in new forms of wars with new players. The balance of power swings between geostrategic interests and those linked to the global governance of virtual space and the race to technological sovereignty. Chapters focus on the challenges imposed by these changes on different parts of the international system—law, governance, diplomacy, international psychological security—and articulate new strategies and ethical policies as possible solutions. The volume is interdisciplinary and will appeal to researchers, students, and professionals across fields interested in the ethics of AI in the international system.
Artificial Intelligence as a Disruptive Technology: Economic Transformation and Government Regulation
by Rosario GirasaArtificial intelligence (AI) is the latest technological evolution which is transforming the global economy and is a major part of the “Fourth Industrial Revolution.” This book covers the meaning, types, subfields and applications of AI, including U.S. governmental policies and regulations, ethical and privacy issues, particularly as they pertain and affect facial recognition programs and the Internet-of Things (IoT). There is a lengthy analysis of bias, AI’s effect on the current and future job market, and how AI precipitated fake news. In addition, the text covers basics of intellectual property rights and how AI will transform their protection. The author then moves on to explore international initiatives from the European Union, China’s New Generation Development Plan, other regional areas, and international conventions. The book concludes with a discussion of super intelligence and the question and applicability of consciousness in machines. The interdisciplinary scope of the text will appeal to any scholars, students and general readers interested in the effects of AI on our society, particularly in the fields of STS, economics, law and politics.
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
by Faisal Tariq Ghita Kouadri Mostefaoui Islam, S. M. RiazulArtificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book are postgraduate students and researchers in the broad domain of healthcare technologies. Features In-depth coverage of the role of AI in smart healthcare Research guidelines for AI and data science researchers/practitioners interested in the healthcare sector Comprehensive coverage on security and privacy issues for AI in smart healthcare
Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies (SpringerBriefs in Research and Innovation Governance)
by Bernd Carsten StahlThis open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems?This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Artificial Intelligence in Accounting and Auditing: Accessing the Corporate Implications
by Anna Monreale Mariarita Pierotti Federica De SantisThis book investigates the phenomenon of artificial intelligence (AI) in the accounting world. It integrates accounting competencies with specific competencies in AI and other digital technologies and offers an interdisciplinary perspective. First, the authors review and discuss the literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management.
Artificial Intelligence in Accounting, Auditing and Finance: A Guide for Implementation and Use (Contributions to Finance and Accounting)
by Collins Achepsah Leke Michael AdelowotanThis book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies.
Artificial Intelligence in Accounting: Organisational and Ethical Implications (Routledge Studies in Accounting)
by Othmar M. Lehner Carina KnollArtificial intelligence (AI) and Big Data based applications in accounting and auditing have become pervasive in recent years. However, research on the societal implications of the widespread and partly unregulated use of AI and Big Data in several industries remains scarce despite salient and competing utopian and dystopian narratives. This book focuses on the transformation of accounting and auditing based on AI and Big Data. It not only provides a thorough and critical overview of the status-quo and the reports surrounding these technologies, but it also presents a future outlook on the ethical and normative implications concerning opportunities, risks, and limits. The book discusses topics such as future, human-machine collaboration, cybernetic approaches to decision-making, and ethical guidelines for good corporate governance of AI-based algorithms and Big Data in accounting and auditing. It clarifies the issues surrounding the digital transformation in this arena, delineates its boundaries, and highlights the essential issues and debates within and concerning this rapidly developing field. The authors develop a range of analytic approaches to the subject, both appreciative and sceptical, and synthesise new theoretical constructs that make better sense of human-machine collaborations in accounting and auditing. This book offers academics a variety of new research and theory building on digital accounting and auditing from and for accounting and auditing scholars, economists, organisations, and management academics and political and philosophical thinkers. Also, as a landmark work in a new area of current policy interest, it will engage regulators and policy makers, reflective practitioners, and media commentators through its authoritative contributions, editorial framing and discussion, and sector studies and cases.
Artificial Intelligence in Accounting: Practical Applications (ISSN)
by Cory Ng John AlarconArtificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.
Artificial Intelligence in Accounting: Practical Applications (Routledge Focus on Business and Management)
by Cory Ng John AlarconArtificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.
Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues (Advances in Neuroethics)
by Fabrice Jotterand Marcello IencaThis volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way. The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
Artificial Intelligence in Cyber Security: Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges (Advanced Sciences and Technologies for Security Applications)
by Hamid Jahankhani Reza MontasariThe book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels.In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security.It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Artificial Intelligence in Drug Development: Patenting and Regulatory Aspects (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications)
by Kavita Sharma Padmavati ManchikantiThis book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.
Artificial Intelligence in Forensic Science: An Emerging Technology in Criminal Investigation Systems
by Naveen Kumar Kavita Saini Mahipal Singh Sankhla Swaroop S. SononeArtificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices. The book also showcases the increasing benefits of AI where and when it can be applied to various techniques and forensic disciplines. The increasing rate of sophisticated crimes has increased the opportunity and need for the forensic field to explore a variety of emerging technologies to counter criminals—and AI is no exception. There are many current investigative challenges that, with ingenuity and application, can be helped with the application of AI, especially in the digital forensic and cyber-crime arena. The book also explains many practical studies that have been carried out to test AI technologies in crime detection, uncovering evidence, and identifying perpetrators. In the last decade, the use of AI has become common in many fields and now is an ideal time to look at the various ways AI can be integrated into judicial, forensic, and criminal cases to better collect and analyze evidence, thereby improving outcomes.
Artificial Intelligence, Business and Civilization: Our Fate Made in Machines (Routledge Focus on Business and Management)
by Andreas KaplanArtificial intelligence is shaking up economies around the world as well as society at large and is predicted to be either the best or worst thing to happen to humanity. This book looks at what exactly artificial intelligence is, how it can be classified, how it differentiates from other concepts such as machine learning, big data, blockchain, or the Internet-of-Things, and how it has evolved and might evolve over time. Providing a clear and unbiased picture of artificial intelligence, the book provides critical analyses of the advantages and disadvantages, opportunities and threats of AI progress for business and civilisation. Solutions and possible directions of how humanity might deal with rapid development and evolutions will be given and discussed, and consider regulation, employment, ethics, education and international cooperation. Unlike existing literature, this book provides a comprehensive overview of AI based on detailed analysis and insight. Finally, several real-life examples from various sectors and industries, including for profit organizations, higher education, and government, will substantiate and illustrate the presented concepts, classifications, and discussions. This book is of interest to researchers, educators, students, and practitioners alike who desire to understand AI in its broad lines and discover the latest research and studies within the field.
Artificial Intelligence, Computational Modelling and Criminal Proceedings: A Framework for A European Legal Discussion (Legal Studies in International, European and Comparative Criminal Law #4)
by Serena QuattrocoloThis book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.
Artificial Intelligence, Design Law and Fashion (Routledge Research in Fashion Law)
by Hasan Kadir YılmaztekinArtificial intelligence (AI) now infiltrates our culture. After a couple of difficult winters, AI today is a word on everybody’s lips, and it attracts everyone’s attention regardless of whether they are experts or not. From Apple’s Siri to Amazon’s Alexa, Tesla’s auto-driving cars to facial recognition systems in CCTV cameras, Netflix’s film offering services to Google’s search engine, we live in a world of AI goods. The advent of AI-powered technologies increasingly affects people’s lives across the globe. As a tool for productivity and cost-efficiency, AI also shapes our economy and welfare. AI-generated designs and works are becoming more popular. Today, AI technologies can generate several intellectual creations. Fashion is one of the industries that AI can profoundly impact. AI tools and devices are currently being used in the fashion industry to create fashion models, fabric and jewellery designs, and clothing. When we talk about AI-generated designs, we instead focus on the fruits of innovation – more best-selling apparels, more fashionable designs and more fulfilment of customer expectations – without paying heed to who the designer is. Designers invest a lot of talent, time and finances into designing and creating each article of clothing and accessory before they release their work to the public. Pattern drafting is the first and most important step in dressmaking. Designers typically start with a general sketch on paper; add styles, elements and colours; revise and refine everything; and finally deliver their design to dressmakers. AI accelerates this time-consuming and labour-intensive process. Yet the full legal consequences of AI in fashion industry are often forgotten. An AI device’s ability to generate fashion designs raises the question of who will own intellectual property rights over the fashion designs. Will it be the fashion designer who hires or contracts with the AI programmer? Will it be the programmer? Will it be the AI itself? Or will it be a joint work of humans and computers? And who will be liable for infringement deriving from use of third-party material in AI-generated fashion designs? This book explores answers to these questions within the framework of EU design and copyright laws. It also crafts a solution proposal based on a three-step test and model norms, which could be used to unleash the authors, rights holders and infringers around AI-generated fashion designs.
Artificial Intelligence, Digitalization and Regulation: A Legal Framework for Business (Contributions to Management Science)
by Nadia Mansour Lorenzo M. Bujosa VadellThis edited volume explores the relationship between Artificial intelligence (AI), business performance, and regulation. Artificial intelligence allows entrepreneurs to create universally transferable platforms and customers to find the offer they want. Indeed, AI is an excellent tool for competitiveness and innovation. It can contribute to a positive business performance by reducing costs, analyzing and exploiting data, optimizing marketing strategy and advertising targeting, and improving the customer experience. However, Artificial intelligence can also generate threats such as disinformation, manipulation, and false content. Companies are increasingly becoming obliged to take security measures to protect digital data against cyber-attacks and data leaks. This volume presents concepts and solutions for companies aiming not only to benefit from the newest technological developments in AI but also interested in tackling the challenges that come with the use of these technologies.
Artificial Intelligence, Management and Trust (Routledge Studies in Trust Research)
by Mariusz Sołtysik Magda Gawłowska Bartlomiej Sniezynski Artur GuniaThe main challenge related to the development of artificial intelligence (AI) is to establish harmonious human-AI relations, necessary for the proper use of its potential. AI will eventually transform many businesses and industries; its pace of development is influenced by the lack of trust on the part of society. AI autonomous decision-making is still in its infancy, but use cases are evolving at an ever-faster pace. Over time, AI will be responsible for making more decisions, and those decisions will be of greater importance. The monograph aims to comprehensively describe AI technology in three aspects: organizational, psychological, and technological in the context of the increasingly bold use of this technology in management. Recognizing the differences between trust in people and AI agents and identifying the key psychological factors that determine the development of trust in AI is crucial for the development of modern Industry 4.0 organizations. So far, little is known about trust in human-AI relationships and almost nothing about the psychological mechanisms involved. The monograph will contribute to a better understanding of how trust is built between people and AI agents, what makes AI agents trustworthy, and how their morality is assessed. It will therefore be of interest to researchers, academics, practitioners, and advanced students with an interest in trust research, management of technology and innovation, and organizational management.
Artificial Intelligence, Social Harms and Human Rights (Critical Criminological Perspectives)
by Aleš Završnik Katja SimončičThis 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.
Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8-9, 2017, Revised Selected Papers (Communications In Computer And Information Science #823)
by Bart Verheij Marco WieringThis book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017. <p><p> The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.