Bernard Schiele - Böcker

Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

Science communication, as a multidisciplinary field, has developed remarkably in recent years. It is now a distinct and exceedingly dynamic science that melds theoretical approaches with practical experience. Formerly well-established theoretical models now seem out of step with the social reality of the sciences, and the previously clear-cut delineations and interacting domains between cultural fields have blurred. Communicating Science in Social Contexts examines that shift, which itself depicts a profound recomposition of knowledge fields, activities and dissemination practices, and the value accorded to science and technology.Communicating Science in Social Contexts is the product of long-term effort that would not have been possible without the research and expertise of the Public Communication of Science and Technology (PCST) Network and the editors. For nearly 20 years, this informal, international network has been organizing events and forums for discussion of the public communication of science.

Science communication, as a multidisciplinary field, has developed remarkably in recent years. It is now a distinct and exceedingly dynamic science that melds theoretical approaches with practical experience. Formerly well-established theoretical models now seem out of step with the social reality of the sciences, and the previously clear-cut delineations and interacting domains between cultural fields have blurred. Communicating Science in Social Contexts examines that shift, which itself depicts a profound recomposition of knowledge fields, activities and dissemination practices, and the value accorded to science and technology.Communicating Science in Social Contexts is the product of long-term effort that would not have been possible without the research and expertise of the Public Communication of Science and Technology (PCST) Network and the editors. For nearly 20 years, this informal, international network has been organizing events and forums for discussion of the public communication of science.

This volume is aimed at all those who wonder about the mechanisms and effects of the disclosure of knowledge. Whether they have a professional interest in understanding these processes generally, or they wish to conduct targeted investigations in the PCST field, it will be useful to anyone involved in science communication, including researchers, academics, students, journalists, science museum staff, scientists high public profiles, and information officers in scientific institutions.

This volume is aimed at all those who wonder about the mechanisms and effects of the disclosure of knowledge. Whether they have a professional interest in understanding these processes generally, or they wish to conduct targeted investigations in the PCST field, it will be useful to anyone involved in science communication, including researchers, academics, students, journalists, science museum staff, scientists high public profiles, and information officers in scientific institutions.

Science and technology culture is now more than ever at the very heart of the social project, and all countries, to varying degrees, participate in it: raising scientific literacy, improving the image of the sciences, involving the public in debates and encouraging the young to pursue careers in the sciences. Thus, the very destiny of any society is now entwined with its ability to develop a genuine science and technology culture, accessible for participation not only to the few who, by virtue of their training or trade, work in the science and technology fields, but to all, thereby creating occasions for society to debate and to foster a positive dialogue about the directions of change and future choices.This book organized on the theme of ‘knowing, sharing, caring: new insights for a diverse world’, which was derived from the observation that globalization rests upon diversity—diversity of contexts, publics, research, strategies and new innovating practices—and aims to stimulate exchanges, discussions and debates, to initiate a reflection conducive to decentring and to be an opportunity for enrichment by providing the reader with means to achieve the potentialities of that diversity through a comparison of the visions that underpin the attitudes of social actors, the challenges they perceive and the potential solutions they consider.Thus, this book aims first and foremost to raise questions in such a manner that readers so stimulated will feel compelled to contribute and will do so. In this spirit, however significant, the results presented and shared are less important than the questions they seek to answer: How are we to rethink the diffusion, the propagation and the sharing of scientific thought and knowledge in an ever more complex and diverse world? What to know? What to share? How do we do it when science is broken down across the whole spectrum of the world’s diversity?The book is recommended for those who are interested in science communication and science cultures in the new media era, in contemporary social dynamics, and in the evolution of the role of the state and of institutions. It is also an excellent reference for researchers engaging in science communication, public understanding of science, cultural studies, science and technology museum, science–society relationship and other fields of humanities and social sciences.