Toward a Conceptual Network for the Private Law of Artificial Intelligence


Book Description

This book provides a set of proposals for the new conceptual network required in order to establish civil law rules for a world permeated by Artificial Intelligence. These proposals are intended by their authors to push the debate on the new civil law forward. In spite of the natural conservatism of jurists, some innovative or even futuristic ideas are called for, also because the future, even this not-so-distant one, is difficult to foresee. Paradoxically, and unlike in the past, this lack of knowledge must not stop us from planning. If it does, humankind may, as some pessimists already claim, lose its chance to win the battle for control of the world. The rise and expansion of Artificial Intelligence and robotics in recent years has highlighted a pressing need to create a suitable legal framework for this new phenomenon. The debate on the subject, although wide-ranging and involving many new legal documents, is still quite general and preliminary in nature, although these preparatory works illustrate the very real need to develop appropriate new civil law arrangements. It is exactly the branch of private law where the necessity of these new rules appears to be the most imperative. Autonomous vehicles, medical robots, and expertise software raise fundamental questions on aspects of civil liability such as culpability; whereas the growth in popularity of automated, intelligent software systems for concluding contracts requires a new approach to many fundamental and deeply rooted elements of contract law, e.g. consciousness, intent, error, deception, interpretation of contracts and good faith. Ruling on these specific matters demands the identification and clarification of certain key points, which shall become the foundation for constructing AI/robot civil law.







Ethical Issues in AI for Bioinformatics and Chemoinformatics


Book Description

This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools. Features Discusses artificial intelligence and ethics, the challenges and opportunities Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools Ethical responsibility and reasoning for using AI in Big Data Addresses practicing medicine and ethical issues when applying artificial intelligence




Oxford Handbook of Ethics of AI


Book Description

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."




African Data Privacy Laws


Book Description

This volume presents analyses of data protection systems and of 26 jurisdictions with data protection legislation in Africa, as well as additional selected countries without comprehensive data protection laws. In addition, it covers all sub-regional and regional data privacy policies in Africa. Apart from analysing data protection law, the book focuses on the socio-economic contexts, political settings and legal culture in which such laws developed and operate. It bases its analyses on the African legal culture and comparative international data privacy law. In Africa protection of personal data, the central preoccupation of data privacy laws, is on the policy agenda. The recently adopted African Union Cyber Security and Data Protection Convention 2014, which is the first and currently the only single treaty across the globe to address data protection outside Europe, serves as an illustration of such interest. In addition, there are data protection frameworks at sub-regional levels for West Africa, East Africa and Southern Africa. Similarly, laws on protection of personal data are increasingly being adopted at national plane. Yet despite these data privacy law reforms there is very little literature about data privacy law in Africa and its recent developments. This book fills that gap.




The Unaccountable State of Surveillance


Book Description

This book examines the ability of citizens across ten European countries to exercise their democratic rights to access their personal data. It presents a socio-legal research project, with the researchers acting as citizens, or data subjects, and using ethnographic data collection methods. The research presented here evidences a myriad of strategies and discourses employed by a range of public and private sector organizations as they obstruct and restrict citizens' attempts to exercise their informational rights. The book also provides an up-to-date legal analysis of legal frameworks across Europe concerning access rights and makes several policy recommendations in the area of informational rights. It provides a unique and unparalleled study of the law in action which uncovered the obstacles that citizens encounter if they try to find out what personal data public and private sector organisations collect and store about them, how they process it, and with whom they share it. These are simple questions to ask, and the right to do so is enshrined in law, but getting answers to these questions was met by a raft of strategies which effectively denied citizens their rights. The book documents in rich ethnographic detail the manner in which these discourses of denial played out in the ten countries involved, and explores in depth the implications for policy and regulatory reform.




The Economics of Artificial Intelligence


Book Description

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.




Artificial Intelligence and Legal Analytics


Book Description

This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.




Regulating Artificial Intelligence


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.




Designing for Privacy and its Legal Framework


Book Description

This book discusses the implementation of privacy by design in Europe, a principle that has been codified within the European Data Protection Regulation (GDPR). While privacy by design inspires hope for future privacy-sensitive designs, it also introduces the need for a common understanding of the legal and technical concepts of privacy and data protection. By pursuing an interdisciplinary approach and comparing the problem definitions and objectives of both disciplines, this book bridges the gap between the legal and technical fields in order to enhance the regulatory and academic discourse. The research presented reveals the scope of legal principles and technical tools for privacy protection, and shows that the concept of privacy by design goes beyond the principle of the GDPR. The book presents an analysis of how current regulations delegate the implementation of technical privacy and data protection measures to developers and describes how policy design must evolve in order to implement privacy by design and default principles.