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Author: Anthony Elliott
Publisher: Routledge
ISBN: 0429582064
Category : Social Science
Languages : en
Pages : 454
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Book Description
The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution – from supercomputers and social media to advanced automation and robotics – is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.
Author: Anthony Elliott
Publisher: Routledge
ISBN: 0429582064
Category : Social Science
Languages : en
Pages : 454
Get Book Here
Book Description
The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution – from supercomputers and social media to advanced automation and robotics – is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.
Author: Uwe Engel
Publisher: Taylor & Francis
ISBN: 1000448584
Category : Computers
Languages : en
Pages : 417
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Book Description
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.
Author: Uwe Engel
Publisher: Taylor & Francis
ISBN: 1000448592
Category : Computers
Languages : en
Pages : 434
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Book Description
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.
Author: Anthony Elliott
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110721759
Category : Social Science
Languages : en
Pages : 316
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Book Description
The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies examines the relationship of the social sciences to artificial intelligence, surveying the various convergences and divergences between science and technology studies on the one hand and identity transformations on the other. It provides representative coverage of all aspects of the AI revolution, from employment to education to military warfare, impacts on public policy and governance and the future of ethics. How is AI currently transforming social, economic, cultural and psychological processes? This handbook answers these questions by looking at recent developments in supercomputing, deep learning and neural networks, including such topics as AI mobile technology, social robotics, big data and digital research. It focuses especially on mechanisms of identity by defining AI as a new context for self-exploration and social relations and analyzing phenomena such as race, ethnicity and gender politics in human-machine interfaces.
Author: Alan Petersen
Publisher: Edward Elgar Publishing
ISBN: 1839104759
Category : Social Science
Languages : en
Pages : 589
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Book Description
This timely Handbook provides an essential guide to the major topics, perspectives, and scholars in the sociology of health and medicine. Contributors prove the immense value of a sociological understanding of central health and medical concerns, including public health, the COVID-19 pandemic, and new medical technologies.
Author: Carlos López Galviz
Publisher: Routledge
ISBN: 0429803842
Category : Social Science
Languages : en
Pages : 444
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Book Description
Featuring chapters from an international range of leading and emerging scholars, this Handbook provides a collection of cutting-edge, interdisciplinary research that sheds new light on contemporary futures studies. Engaging with key defining questions of the early twenty-first century such as climate change, big data, AI, the future of economics, education, mental health, cities and more, the Handbook provides a review and synthesis of futures scholarship, highlighting the role that societies can and should play in their making. While the various chapters demonstrate how futures emerge and take shape in particular places at particular times, the distinctive insight provided by the volume overall is that futures thinking today must be social and contextual. By presenting a range of futures work from contexts around the globe, the Handbook contextualizes techniques – forecasting, backcasting, scenario planning, collaboration and co-production– to ask how different dimensions of the social are created and circulated in the process. Through its thirty chapters, the volume explores and interrogates narratives, anticipations, enactments, ecologies, collaborations, prospections and so on to highlight which versions of the social are legitimized and which are encouraged and foreclosed. This Handbook opens an important conversation about the centrality of the social in futures thinking. By bringing arts, humanities and social sciences scholars and practitioners into conversation with biologists, environmental, climate and computer scientists, this volume seeks to encourage new pathways across, between and within multiple disciplines to interrogate the futures we need and want. The social must be our starting point if we are to steer our planet in a direction that supports good lives for the many, everywhere.
Author: Anthony Elliott
Publisher: John Wiley & Sons
ISBN: 1509555447
Category : Social Science
Languages : en
Pages : 156
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Book Description
Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, communities and organizations can at last take control of the future – anticipating, designing and commanding the future, possibly even with mathematical exactitude. Yet, paradoxically, algorithms have unleashed widespread fears and forebodings about the impact of digital technologies. Whether it’s worries about unemployment, distress about social media’s harmful effects on teenagers, or the fear of intrusive digital surveillance, we live in an age of turbo-charged anxiety where the prophecies of algorithms are increasingly enmeshed with fundamental disruption and anxieties about the future. In this book, Anthony Elliott examines how machine learning algorithms are not only transforming global institutions but also rewriting our personal lives. He tells this story through a wide-ranging analysis which takes in ChatGPT, Amazon, the Metaverse, Martin Ford, Netflix, Uber, Bernard Stiegler, Squid Game, Kate Crawford, LaMDA, Byung-Chul Han, autonomous drones, Jean Baudrillard and the automation of warfare. Questioning why people often assume that they need to adopt new technologies in order to lead fulfilling lives, Elliott argues that people may be as much entranced as inspired by their outsourcing of personal decision-making to smart machines.
Author: Wendell H. Chun
Publisher: CRC Press
ISBN: 1040116167
Category : Computers
Languages : en
Pages : 335
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Book Description
Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having "smart" robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to state‐of‐the‐art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this first volume investigates the coming together of AI (the mind) and robotics (the body), and discusses the state of AI today. Key Features: Provides a complete overview of the topic of AI, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and AI needed for a futuristic society Provides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach Provides a glossary of terms, list of notable people, and extensive references Provides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e., generative AI, have advanced Intended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It can also be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.
Author: Will Kalkhoff
Publisher: Emerald Group Publishing
ISBN: 1804551538
Category : Business & Economics
Languages : en
Pages : 209
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Book Description
Advances in Group Processes Volume 39 brings together papers related to a variety of topics in small groups and organizational research reflecting a wide range of theoretical approaches from leading scholars who work in the general area of group processes.
Author: Tshilidzi Marwala
Publisher: Springer Nature
ISBN: 9819792517
Category :
Languages : en
Pages : 251
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Book Description
