Product Development Within Artificial Intelligence Ethics And Legal Risk

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.

Artificial Intelligence may be the disruptive tech to influence our lives, but in the end, it has its own species to grow, so let us not take it as something we use and leave.Ê DESCRIPTION The book enters with its first chapter providing a simple and legal backdrop of the idea behind AI Ethics and International Law, its references and some important analogies and conceptual ideas. Also, the first chapter introduces some problems and questions regarding AI for contemplation in the field of jurisprudence. The second chapter vividly focuses on the deeper aspect of Artificial Intelligence, and goes to the principled developments of pure international law, with special analysis of the conceptions of sovereignty, self_determination and human rights. The chapter explores the catchy world of design and technology and covers with the diversity of issues revolving Artificial Intelligence Ethics. The third chapter gets specific with International Law and paves on ways towards the idea of the Privacy Doctrine conceived by the author. The chapter also explores the conceptual propositions in the field of Artificial Intelligence and International Law and renders about the scope of culture as a part of the social ecosystem to affect artificial intelligence. The chapter also lays the origination of the idea of an AI as an Entity, with special examples. The fourth chapter is centric towards human rights, making the debate beyond the legal literature and pragmatizing about the corporate idea of innovation and customer experience in various tech companies and institutions. The final chapter digs deeper into the principles and realms of cosmopolitanism and globalization, giving ways to discover and embark upon the role of human empathy and understanding to solve the issues that disruptive technology renders in its canvas.Ê KEY FEATURES _ The book gives a lucid introduction to the idea of AI Ethics and its geopolitical implications.Ê _ The book is insightful for an academic understanding of AI Ethics in the concept of Legal Personality meant for every person, including professionals in the field of Law, Social Sciences and Technology Studies.Ê _ The book provides a special understanding and renders curiosity for readers to establish newer ideas and understand Artificial Intelligence from a socio_cultural scenario.Ê _ The book gives a cogent aspect of the relationship between Artificial Intelligence and International Law.Ê _ The book presents about an innovative and dimensional idea of Privacy with respect to AI in Legal Theory.Ê WHAT WILL YOU LEARN The reader will learn about artificial intelligence in the eyes of a social animal, beyond the technical aspect of it. It enables the reader to challenge the conventional understanding of artificial intelligence and gives a motivation to understand the deep connect that AI is capable to create with humans in its social, economic and cultural scenarios rendered. It also poses a sense of curiosity and humility for people to understand the legal and social role of disrupting tech whether they are in a developed country or a developing one.Ê WHO THIS BOOK IS FOR This book is based for students, academicians, educationists, professionals and policy researchers in the field of law, social sciences, management and technology to understand and get a special insight of artificial intelligence for mankind. It is also a good read for a layman audience to get into the idea of artificial intelligence ethics for their understanding and awareness.Ê Table of ContentsÊ 1. Introduction to Artificial intelligence and International law 2. The Basic Relationship: The Pragmatism 3. Legal visibility: DOCTRINE and Concept for AI 4. Beyond the Human Rights Discourse: A New Vision 5. Student Devices

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.

What will you do when your AI misbehaves? The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk? Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this environment, AI ethics isn't merely an academic curiosity, it's a business necessity. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. Most importantly, Blackman makes ethics actionable by tackling the big three ethical risks with AI—bias, explainability, and privacy—and tells you what to do (and what not to do) to mitigate them. With practical approaches to everything from writing a strong statement of AI ethics principles to creating teams that effectively evaluate ethical risks, Ethical Machines is the one guide you need to ensure your AI advances your company's objectives instead of undermining them.

This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators. Alessandro Mantelero is Associate Professor of Private Law and Law & Technology in the Department of Management and Production Engineering at the Politecnico di Torino in Turin, Italy.

This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.

This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.