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The inside story of the groundbreaking experiment that captured what people think about the life-and-death dilemmas posed by driverless cars. Human drivers don't find themselves facing such moral dilemmas as "should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?" Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision--to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew ...
Moral Inferences is the first volume to thoroughly explore the relationship between morality and reasoning. Drawing on the expertise of world-leading researchers, this text provides ground-breaking insight into the importance of studying these distinct fields together. The volume integrates the latest research into morality with current theories in reasoning to consider the prominent role reasoning plays in everyday moral judgements. Featuring contributions on topics such as moral arguments, causal models, and dual process theory, this text provides a new perspectives on previous studies, encouraging researchers to adopt a more integrated approach in the future. Moral Inferences will be essential reading for students and researchers of moral psychology, specifically those interested in reasoning, rationality and decision-making.
In recent years the psychology of reasoning has undergone radical change, which can only be seen as a Kuhn-style scientific revolution. This shift has been dubbed ‘New Paradigm’. For years, psychologists of reasoning focused on binary truth values and regarded the influence of belief as a bias. In contrast to this, the new paradigm puts probabilities, and subjective degrees of belief, centre stage. It also emphasises subjective psychological value, or utility; the way we reason within our own social environment (‘social pragmatics’); and the crucial role of dual process theories. Such theories distinguish between fast, intuitive processes, and effortful processes which enable hypothe...
This book argues that the science of reasoning will prove most useful if focused on studying what human reasoning does best - understanding people. Bonnefon argues that humanity's unique reasoning abilities developed in order to handle the complexities of cooperative social life. Accordingly, human beings became exquisite students of the minds of other people to predict the kind of decisions they make, and assess their character. In particular, this volume explores the inferences humans make about the moral character of others, how they delude themselves about their own moral character, and the ways in which they can see through the delusions of others. In conclusion, the book considers how to leverage the power of human reasoning in order to sustain democratic life. This work will interest scholars and students working in fields including theory of mind, decision-making, moral cognition, critical thinking, experimental philosophy, and behavioural economics, as well as policy makers interested in how reasoning impacts our political understanding.
As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. This volume features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field. Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights. Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.
These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference i...
From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories...
Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.
Politeness is key to all of our relationships and plays a fundamental part in the way we communicate with each other and the way we define ourselves. It is not limited only to conventional aspects of linguistic etiquette, but encompasses all types of interpersonal behaviour through which we explore and maintain our relationships. This groundbreaking exploration navigates the reader through this fascinating area and introduces them to a variety of new insights. The book is divided into three parts and is based on an innovative framework which relies on the concepts of social practice, time and space. In this multidisciplinary approach, the authors capture a range of user and observer understandings and provide a variety of examples from different languages and cultures. With its reader-friendly style, carefully constructed exercises and useful glossary, Understanding Politeness will be welcomed by both researchers and postgraduate students working on politeness, pragmatics and sociolinguistics more broadly.