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Author: Hugo Neri
Publisher: Rowman & Littlefield
ISBN: 1793602069
Category : Social Science
Languages : en
Pages : 179
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Book Description
In The Risk Perception of Artificial Intelligence, Hugo Neri examines how society has come to understand artificial intelligence by studying how cultural productions, intellectuals, and the media have shaped society’s views, understandings, and fears of artificial intelligence. As an abstract term, artificial intelligence has been understood both as a discipline and a "robot's mind." In the twenty and twenty-first centuries, cultural representations in comics, television shows, and movies converged with public lectures about the risks of A.I. by prominent public figures such as Stephen Hawking and Elon Musk. Neri analyzes how this cultural and intellectual miscellany shapes the way we perceive artificial intelligence and whether this perception is universal or restricted to the Western world.
Author: Hugo Neri
Publisher: Rowman & Littlefield
ISBN: 1793602069
Category : Social Science
Languages : en
Pages : 179
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Book Description
In The Risk Perception of Artificial Intelligence, Hugo Neri examines how society has come to understand artificial intelligence by studying how cultural productions, intellectuals, and the media have shaped society’s views, understandings, and fears of artificial intelligence. As an abstract term, artificial intelligence has been understood both as a discipline and a "robot's mind." In the twenty and twenty-first centuries, cultural representations in comics, television shows, and movies converged with public lectures about the risks of A.I. by prominent public figures such as Stephen Hawking and Elon Musk. Neri analyzes how this cultural and intellectual miscellany shapes the way we perceive artificial intelligence and whether this perception is universal or restricted to the Western world.
Author: R.E Kasperson
Publisher: Springer Science & Business Media
ISBN: 9780792306016
Category : Technology & Engineering
Languages : en
Pages : 502
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Book Description
Risk communication: the evolution of attempts Risk communication is at once a very new and a very old field of interest. Risk analysis, as Krimsky and Plough (1988:2) point out, dates back at least to the Babylonians in 3200 BC. Cultures have traditionally utilized a host of mecha nisms for anticipating, responding to, and communicating about hazards - as in food avoidance, taboos, stigma of persons and places, myths, migration, etc. Throughout history, trade between places has necessitated labelling of containers to indicate their contents. Seals at sites of the ninth century BC Harappan civilization of South Asia record the owner and/or contents of the containers (Hadden, 1986:3). The Pure Food and Drug Act, the first labelling law with national scope in the United States, was passed in 1906. Common law covering the workplace in a number of countries has traditionally required that employers notify workers about significant dangers that they encounter on the job, an obligation formally extended to chronic hazards in the OSHA's Hazard Communication regulation of 1983 in the United States. In this sense, risk communication is probably the oldest way of risk manage ment. However, it is only until recently that risk communication has attracted the attention of regulators as an explicit alternative to the by now more common and formal approaches of standard setting, insuring etc. (Baram, 1982).
Author: Vincent C. Müller
Publisher: CRC Press
ISBN: 1498734839
Category : Computers
Languages : en
Pages : 294
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Book Description
Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest AI research, including the risks and future impacts. Ethical issues in AI are covered extensively along with an exploration of autonomous technology and its impact on humanity.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494508
Category : Computers
Languages : en
Pages : 99
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Book Description
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
Author: Ortwin Renn
Publisher: Springer Science & Business Media
ISBN: 1475748914
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
Cross-Cultural Risk Perception demonstrates the richness and wealth of theoretical insights and practical information that risk perception studies can offer to policy makers, risk experts, and interested parties. The book begins with an extended introduction summarizing the state of the art in risk perception research and core issues of cross-cultural comparisons. The main body of the book consists of four cross-cultural studies on public attitudes towards risk in different countries, including the United States, Australia, New Zealand, France, Germany, Sweden, Bulgaria, Romania, Japan, and China. The last chapter critically discusses the main findings from these studies and proposes a framework for understanding and investigating cross-cultural risk perception. Finally, implications for communication, regulation and management are outlined. The two editors, sociologist Ortwin Renn (Center of Technology Assessment, Germany) and psychologist Bernd Rohrmann (University of Melbourne, Australia), have been engaged in risk research for the last three decades. They both have written extensively on this subject and provided new empirical and theoretical insights into the growing body of international risk perception research.
Author: Stephen Cave
Publisher:
ISBN: 0198846665
Category : Computers
Languages : en
Pages : 439
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Book Description
This book is the first to examine the history of imaginative thinking about intelligent machines, featuring contributions from leading humanities and social science scholars who detail the narratives about artificial intelligence (AI) that in turn offer a crucial epistemic site for exploring contemporary debates about these powerful technologies.
Author: Alexandros Iosifidis
Publisher: Academic Press
ISBN: 0323885721
Category : Technology & Engineering
Languages : en
Pages : 638
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Book Description
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Issam El Naqa
Publisher: Springer
ISBN: 3319183052
Category : Medical
Languages : en
Pages : 336
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Book Description
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Author: Seungahn Nah
Publisher: Edward Elgar Publishing
ISBN: 1803920300
Category : Computers
Languages : en
Pages : 453
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Book Description
This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.
