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This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice? The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science.
In this era of pervasive automation, Mark Andrejevic provides an original framework for tracing the logical trajectory of automated media and their social, political, and cultural consequences. This book explores the cascading logic of automation, which develops from the information collection process through to data processing and, finally, automated decision making. It argues that pervasive digital monitoring combines with algorithmic decision making and machine learning to create new forms of power and control that pose challenges to democratic forms of accountability and individual autonomy alike. Andrejevic provides an overview of the implications of these developments for the fate of human experience, describing the "bias of automation" through the logics of pre-emption, operationalism, and "framelessness." Automated Media is a fascinating and groundbreaking new volume: a must-read for students and researchers of critical media studies interested in the intersections of media, technology, and the digital economy.
This book aims to explore the impact of human alterations of Earth’s ecological systems on human health. Human activities are producing fundamental biophysical changes faster than ever before in the history of our species, which are accompanied by dangerous health effects. Drawing on advanced ecological principles, the book demonstrates the importance of using systemic medicine to study the effects of ecological alterations on human health. Planetary Health is an interdisciplinary field, but first of all it must be systemic and it needs a preferential relationship between Ecology and Medicine. This relation is to be upgrading, because today both ecology and medicine pursue few systemic characters and few correct interrelations. We need to refer to new principles and methods sustained by the most advanced fields, as Landscape Bionomics and Systemic Medicine. Thus, we will be able to better discover environmental syndromes and their consequences on human health. Environmental transformations proposed by PHA (from biodiversity shifts to climate change) do not consider bionomic dysfunctions which can menace human health. On the contrary, finding advanced diagnostic criteria in landscape syndromes can strongly help to find the effects on human well-being. The passage from sick care to health care can’t avoid the mentioned upgrading.
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.
How does automation affect us, our environment, and our imaginations? What actions should we take in response to automation? Beyond grand narratives and technology-driven visions of the future, what more can automation offer? With these questions in mind, The De Gruyter Handbook of Automated Futures provides a framework for thinking about and implementing automation differently. It consolidates automated futures as an inter- and transdisciplinary research field, embedding the imaginaries, interactions, and impacts of automation technology within their social, historical, societal, cultural, and political contexts. Promoting a critical yet constructive and engaging agenda, the handbook invites readers to collaborate with rather than resist automation agendas. It does so by pushing the agenda for social science, humanities and design beyond merely assessing and evaluating existing technologies. Instead, the handbook demonstrates how the humanities and social sciences are essential to the design and governance of sustainable sociotechnical systems. Methodologically, the handbook is underpinned by a pedagogical approach to staging co-learning and co-creation of automated futures with, rather than simply for, people. In this way, the handbook encourages readers to explore new and alternative modes of research, fostering a deeper engagement with the evolving landscape of automation.
This volume is a valuable source of ACT information for developing holistic research methods and global policies for making progress towards the SDGs.
This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. ​*The conference was held virtually due to the COVID-19 pandemic.
This book constitutes the proceedings of the 5th International Conference on Geometric Science of Information, GSI 2021, held in Paris, France, in July 2021. The 98 papers presented in this volume were carefully reviewed and selected from 125 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: Probability and statistics on Riemannian Manifolds; sub-Riemannian geometry and neuromathematics; shapes spaces; geometry of quantum states; geometric and structure preserving discretizations; information geometry in physics; Lie group machine learning; geometric and symplectic methods for hydrodynamical models; harmonic analysis on Lie groups; statistical manifold and Hessian information geometry; geometric mechanics; deformed entropy, cross-entropy, and relative entropy; transformation information geometry; statistics, information and topology; geometric deep learning; topological and geometrical structures in neurosciences; computational information geometry; manifold and optimization; divergence statistics; optimal transport and learning; and geometric structures in thermodynamics and statistical physics.
This Handbook introduces neurosemiotics, a pluralistic framework to reconsider semiosis as an emergent phenomenon at the interface of biology and culture. Across individual and interpersonal settings, meaning is influenced by external and internal processes bridging phenomenological and biological dimensions. Yet, each of these dyads has been segregated into discipline-specific topics, with attempts to chart their intersections proving preliminary at best. Bringing together perspectives from world-leading experts, this volume seeks to overcome these disciplinary divides between the social and the natural sciences at both the empirical and theoretical levels. Its various chapters chart the foundations of neurosemiotics; characterize linguistic and interpersonal dynamics as shaped by neurocognitive, bodily, situational, and societal factors; and examine other daily neurosemiotic occurrences driven by faces, music, tools, and even visceral signals. This comprehensive volume is a state-of the-art resource for students and researchers interested in how humans and other animals construe experience in such fields as cognitive neuroscience, biosemiotics, philosophy of mind, neuropsychology, neurolinguistics, and evolutionary biology.
This volume covers a wide range of topics concerning methodological, epistemological, and regulatory-ethical issues around pharmacology. The book focuses in particular on the diverse sources of uncertainty, the different kinds of uncertainty that there are, and the diverse ways in which these uncertainties are (or could be) addressed. Compared with the more basic sciences, such as chemistry or biology, pharmacology works across diverse observable levels of reality: although the first step in the causal chain leading to the therapeutic outcome takes place at the biochemical level, the end-effect is a clinically observable result—which is influenced not only by biological actions, but also psychological and social phenomena. Issues of causality and evidence must be treated with these specific aspects in mind. In covering these issues, the book opens up a common domain of investigation which intersects the deeply intertwined dimensions of pharmacological research, pharmaceutical regulation and the related economic environment. The book is a collective endeavour with in-depth contributions from experts in pharmacology, philosophy of medicine, statistics, scientific methodology, formal and social epistemology, working in constant dialogue across disciplinary boundaries.