The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies

The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies PDF

Author: Anthony Elliott

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2024-07-22

Total Pages: 316

ISBN-13: 3110721759

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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.

The de Gruyter Handbook of Robots in Society and Culture

The de Gruyter Handbook of Robots in Society and Culture PDF

Author: Leopoldina Fortunati

Publisher:

Published: 2024-11-08

Total Pages: 0

ISBN-13: 9783110792157

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The De Gruyter Handbook of Robots in Society and Culture provides a comprehensive discussion of how social robots take form, function, and meaning for individuals, relationships, cultures, and societies. Through a path-breaking integration of perspectives coming from sociology, communication and media, psychology, cognitive neuroscience, anthropology, political science, and science and technology studies, it focuses on the critical and social meaning of present developments in social robotic technologies. This book looks at artificial agents - from voice-based assistants to humanoid robots-- as their use transforms private and public contexts and gives rise to both new possibilities and new perils for human being and becoming, organizations as well as social structures and institutions. The handbook traces the consequences and key problems of social robotics across broad social contexts in both public and political as well as domestic and intimate spaces. Further, it attends carefully to the implications of social robotics for various human identity groups, including those based on gender, ethnicity, culture, class, ability, and age. Deep attention to interdisciplinarity, inclusivity, ethics, and socio-cultural futures serves as the guiding inspiration behind each contribution within this handbook.

Machine Learning Applications

Machine Learning Applications PDF

Author: Rik Das

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-04-20

Total Pages: 153

ISBN-13: 3110610981

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The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Computational Intelligence

Computational Intelligence PDF

Author: Dinesh C. S. Bisht

Publisher: ISSN

Published: 2020

Total Pages: 0

ISBN-13: 9783110655247

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Computational intelligence (CI) can be regarded as an indispensible basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspire

Humanizing Artificial Intelligence

Humanizing Artificial Intelligence PDF

Author: Luca M. Possati

Publisher: de Gruyter

Published: 2023-11-15

Total Pages: 0

ISBN-13: 9783111007366

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What does humankind expect from AI? What kind of relationship between man and intelligent machine are we aiming for? Does an AI need to be able to recognize human unconscious dynamics to act for the "best" of humans--that "best" that not even humans can clearly define? Humanizing AI analyses AI and its numerous applications from a psychoanalytical point of view to answer these questions. This important, interdisciplinary contribution to the social sciences, as applied to AI, shows that reflecting on AI means reflecting on the human psyche and personality; therefore conceiving AI as a process of deconstruction and reconstruction of human identity. AI gives rise to processes of identification and de-identification that are not simply extensions of human identities--as post-humanist or trans-humanist approaches believe--but completely new forms of identification. Humanizing AI will benefit a broad audience: undergraduates, postgraduates and teachers in sociology, social theory, science and technology studies, cultural studies, philosophy, social psychology, and international relations. It will also appeal to programmers, software designers, students, and professionals in the sciences.

Digital Roots

Digital Roots PDF

Author: Gabriele Balbi

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-09-07

Total Pages: 295

ISBN-13: 3110740281

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As media environments and communication practices evolve over time, so do theoretical concepts. This book analyzes some of the most well-known and fiercely discussed concepts of the digital age from a historical perspective, showing how many of them have pre-digital roots and how they have changed and still are constantly changing in the digital era. Written by leading authors in media and communication studies, the chapters historicize 16 concepts that have become central in the digital media literature, focusing on three main areas. The first part, Technologies and Connections, historicises concepts like network, media convergence, multimedia, interactivity and artificial intelligence. The second one is related to Agency and Politics and explores global governance, datafication, fake news, echo chambers, digital media activism. The last one, Users and Practices, is finally devoted to telepresence, digital loneliness, amateurism, user generated content, fandom and authenticity. The book aims to shed light on how concepts emerge and are co-shaped, circulated, used and reappropriated in different contexts. It argues for the need for a conceptual media and communication history that will reveal new developments without concealing continuities and it demonstrates how the analogue/digital dichotomy is often a misleading one.

Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture PDF

Author: Jyotir Moy Chatterjee

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-02-08

Total Pages: 454

ISBN-13: 3110691280

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Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.

The Algorithmic Unconscious

The Algorithmic Unconscious PDF

Author: Luca M. Possati

Publisher: Routledge

Published: 2021-02-25

Total Pages: 210

ISBN-13: 1000345351

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This book applies the concepts and methods of psychoanalysis to the study of artificial intelligence (AI) and human–AI interaction. It develops a new, more fruitful approach for applying psychoanalysis to AI and machine behavior. It appeals to a broad range of scholars: philosophers working on psychoanalysis, technology, AI ethics, and cognitive sciences, psychoanalysts, psychologists, and computer scientists. The book is divided into four parts. The first part (Chapter 1) analyzes the concept of "machine behavior." The second part (Chapter 2) develops a reinterpretation of some fundamental Freudian and Lacanian concepts through Bruno Latour’s actor-network theory. The third part (Chapters 3 and 4) focuses on the nature and structure of the algorithmic unconscious. The author claims that the unconscious roots of AI lie in a form of projective identification, i.e., an emotional and imaginative exchange between humans and machines. In the fourth part of the book (Chapter 5), the author advances the thesis that neuropsychoanalysis and the affective neurosciences can provide a new paradigm for research on artificial general intelligence. The Algorithmic Unconscious explores a completely new approach to AI, which can also be defined as a form of "therapy." Analyzing the projective identification processes that take place in groups of professional programmers and designers, as well as the "hidden" features of AI (errors, noise information, biases, etc.), represents an important tool to enable a healthy and positive relationship between humans and AI. Psychoanalysis is used as a critical space for reflection, innovation, and progress.

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