Autonomous Vehicles and the Law


Book Description

Autonomous vehicles have attracted a great deal of attention in the media, however there are some inconsistencies between the perception of autonomous vehicles’ capabilities and their actual functions. This book provides an accessible explanation of how autonomous vehicles function, suggesting appropriate regulatory responses to the existing and emerging technology.




Law and Autonomous Machines


Book Description

This book sets out a possible trajectory for the co-development of legal responsibility on the one hand and artificial intelligence and the machines and systems driven by it on the other. As autonomous technologies become more sophisticated it will be harder to attribute harms caused by them to the humans who design or work with them. This will put pressure on legal responsibility and autonomous technologies to co-evolve. Mark Chinen illustrates how these factors strengthen incentives to develop even more advanced systems, which in turn strengthens nascent calls to grant legal and moral status to autonomous machines. This book is a valuable resource for scholars and practitioners of legal doctrine, ethics, and autonomous technologies.




Product Development Within Artificial Intelligence, Ethics and Legal Risk


Book Description

This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch. The author Thomas Winkle (Prof. Dr.-Ing., MBA Communication & Leadership) is a multiple author in best-selling Springer books such as "Autonomous Driving: Technical, Legal and Social Aspects" or the "Handbook of Driver Assistance Systems". His work bases on three decades in sustainable team consulting as employee and researcher in the legal departments of three car manufacturers as well as a professor at IU International University and TU Munich. Thomas Winkle received the Volkswagen research award for his significant Human-Centered Design into the development of the Automatic Emergency Brake. He was responsible to prepare the ADAS Code of Practice. As consultant at international courts, he links Artificial Intelligence, Ethics, Sustainable Agile Management, Mindful Communication and Law using Autonomous Vehicles example definition requirements.




Legal & Humble AI


Book Description

In "Legal and Humble AI: Addressing the Legal, Ethical, and Societal Dilemmas of Generative AI," the author takes a deep dive into the murky world of algorithmic bias. With the rise of AI technology, it's become increasingly clear that our legal and ethical frameworks are struggling to keep up. This book confronts the challenges head-on, offering insights into the complex intersection of law, ethics, and society when it comes to generative AI. From discriminatory hiring practices to biased medical diagnoses, AI algorithms have been found to perpetuate and even exacerbate existing social inequalities. The author explores the ways in which our legal system can adapt to this new reality, with an eye toward creating a more equitable future. Through real-world examples and thought-provoking analysis, "Legal and Humble AI" provides a compelling look at the implications of unchecked AI power. With accessible language and a keen understanding of the subject matter, this book is a must-read for anyone interested in the intersection of technology and society. Whether you're a legal professional, AI developer, or concerned citizen, "Legal and Humble AI" offers valuable insights into the challenges and opportunities that arise from the widespread use of generative AI. This book is a call to action, urging us to confront the ethical and legal dilemmas posed by AI technology, and to work toward a more just and equitable future.




Ethics of Driving Automation


Book Description

This book offers a systematic and thorough philosophical analysis of the ways in which driving automation crosses path with ethical values. Upon introducing the different forms of driving automation and examining their relation to human autonomy, it provides readers with in-depth reflections on safety, privacy, moral judgment, control, responsibility, sustainability, and other ethical issues. Driving is undoubtedly a moral activity as a human act. Transferring it to artificial agents such as connected and automated vehicles necessarily raises many philosophical questions. When driving is automated, what happens to its ethical dimensions? Could artificial agents accomplish ethical objectives on our behalf, take moral decisions in our place, and drive us into a more ethical transportation future? In doing so, would they be “moral” as we are or in a way that is similar to, but also remarkably different from, our own? And what role is yet to be played by human responsibility and commitment? The book addresses these questions with the aim of stimulating an interdisciplinary dialogue between different stakeholders. They include automotive engineers, computer scientists, and moral philosophers, as well as industry representatives, policymakers, regulators, transportation experts, and the general public. Indeed, connected and automated vehicles will not take the high road for us . We must drive them there.




Connected and Automated Vehicles: Integrating Engineering and Ethics


Book Description

This book reports on theoretical and practical analyses of the ethical challenges connected to driving automation. It also aims at discussing issues that have arisen from the European Commission 2020 report “Ethics of Connected and Automated Vehicles. Recommendations on Road Safety, Privacy, Fairness, Explainability and Responsibility”. Gathering contributions by philosophers, social scientists, mechanical engineers, and UI designers, the book discusses key ethical concerns relating to responsibility and personal autonomy, privacy, safety, and cybersecurity, as well as explainability and human-machine interaction. On the one hand, it examines these issues from a theoretical, normative point of view. On the other hand, it proposes practical strategies to face the most urgent ethical problems, showing how the integration of ethics and technology can be achieved through design practices. All in all, this book fosters a multidisciplinary approach where philosophy, ethics, and engineering are integrated, rather than just juxtaposed. It is meant to inform and inspire an audience of philosophers of technology, ethicists, engineers, developers, manufacturers, and regulators, among other interested readers.




Autonomous Driving


Book Description

This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".




Machine Law, Ethics, and Morality in the Age of Artificial Intelligence


Book Description

Machines and computers are becoming increasingly sophisticated and self-sustaining. As we integrate such technologies into our daily lives, questions concerning moral integrity and best practices arise. A changing world requires renegotiating our current set of standards. Without best practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence is a collection of innovative research that presents holistic and transdisciplinary approaches to the field of machine ethics and morality and offers up-to-date and state-of-the-art perspectives on the advancement of definitions, terms, policies, philosophies, and relevant determinants related to human-machine ethics. The book encompasses theory and practice sections for each topical component of important areas of human-machine ethics both in existence today and prospective for the future. While highlighting a broad range of topics including facial recognition, health and medicine, and privacy and security, this book is ideally designed for ethicists, philosophers, scientists, lawyers, politicians, government lawmakers, researchers, academicians, and students. It is of special interest to decision- and policy-makers concerned with the identification and adoption of human-machine ethics initiatives, leading to needed policy adoption and reform for human-machine entities, their technologies, and their societal and legal obligations.




Artificial Intelligence Moral,


Book Description

The (AI) social choice responsibility for (AI) Autonomous driving vehicle case, such as : Thevehicle needs default drive settings. An (AI) with social choice ethics would learn from the tendenciesof whoever is setting its drive mode and make itsown driving choices accordingly. Designing an (AI) to learn its driving values from its occupantsdenies standing to everyone. Thus, this couldlead the vehicle faster and pollute the environmentmore, causing the social environment pollution harm.Hence, it is (AI) autonomous driving car users'responsibilities to give indication to demand the (AI) manufacturers to decide whether who want (AI) help them to drive their vehicle either fast speed (AI) self driving design in order to reduce the time to arrive the destination, but it is unsafe or dangerous to cause accident occurrences and pollute the air or slow speed (AI) self driving design, but it will spend long time to arrive destination, but it is safe to reduce road accident occurrence chances and it will not pollute air easily. Consequently, it means that (AI) drivers have alsoresponsibilities for their life safety and environmentpollution when they give indication to the (AI) self driving vehicle manufactures how to designthe (AI) autonomous driving vehicles to drive onthe roads. Hence, I believe any (AI) users who have social choice responsibilities for their life safety andenvironment pollution, it depends on how theydemand (AI) product manufactures to help themto produce any (AI) products to buy in this (AI)product market.