The Cultural Life of Machine Learning

The Cultural Life of Machine Learning

Author: Jonathan Roberge

Publisher: Springer Nature

Published: 2020-11-30

Total Pages: 298

ISBN-13: 3030562867

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This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Digital Culture and the U.S.-Mexico Border

Digital Culture and the U.S.-Mexico Border

Author: Rubria Rocha de Luna

Publisher: Taylor & Francis

Published: 2024-11-18

Total Pages: 227

ISBN-13: 1040254497

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Conceptualizing how digital artifacts can function as a frontier mediated by technology in the geographical, physical, sensory, visual, discursive, and imaginary, this volume offers an interdisciplinary analysis of digital material circulating online in a way that creates a digital dimension of the Mexico-U.S. border. In the context of a world where digital media has helped to shape geopolitical borders and impacted human mobility in positive and negative ways, the book explores new modes of expression in which identification, memory, representation, persuasion, and meaning-making are created, experienced, and/or circulated through digital technologies. An interdisciplinary team of scholars looks at how quick communications bring closer transnational families and how online resources can be helpful for migrants, but also at how digital media can serve to control and reinforce borders via digital technology used to create a system of political control that reinforces stereotypes. The book deconstructs digital artifacts such as the digital press, social media, digital archives, web platforms, technological and artistic creations, visual arts, video games, and artificial intelligence to help us understand the anti-immigrant and dehumanizing discourse of control, as well as the ways migrants create vernacular narratives as digital activism to break the stereotypes that afflict them. This timely and insightful volume will interest scholars and students of digital media, communication studies, journalism, migration, and politics.


Algorithmic Intimacy

Algorithmic Intimacy

Author: Anthony Elliott

Publisher: John Wiley & Sons

Published: 2022-10-11

Total Pages: 150

ISBN-13: 150954982X

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Artificial intelligence not only powers our cars, hospitals and courtrooms: predictive algorithms are becoming deeply lodged inside us too. Machine intelligence is learning our private preferences and discreetly shaping our personal behaviour, telling us how to live, who to befriend and who to date. In Algorithmic Intimacy, Anthony Elliott examines the power of predictive algorithms in reshaping personal relationships today. From Facebook friends and therapy chatbots to dating apps and quantified sex lives, Elliott explores how machine intelligence is working within us, amplifying our desires and steering our personal preferences. He argues that intimate relationships today are threatened not by the digital revolution as such, but by the orientation of various life strategies unthinkingly aligned with automated machine intelligence. Our reliance on algorithmic recommendations, he suggests, reflects a growing emergency in personal agency and human bonds. We need alternatives, innovation and experimentation for the interpersonal, intimate effort of ongoing translation back and forth between the discourses of human and machine intelligence. Accessible and compelling, this book sheds fresh light on the impact of artificial intelligence on the most intimate aspects of our lives. It will appeal to students in the social sciences and humanities and to a wide range of general readers.


The SAGE Handbook of Human–Machine Communication

The SAGE Handbook of Human–Machine Communication

Author: Andrea L. Guzman

Publisher: SAGE

Published: 2023-06-01

Total Pages: 1019

ISBN-13: 1529786746

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The SAGE Handbook of Human-Machine Communication has been designed to serve as the touchstone text for researchers and scholars engaging in new research in this fast-developing field. Chapters provide a comprehensive grounding of the history, methods, debates and theories that contribute to the study of human-machine communication. Further to this, the Handbook provides a point of departure for theorizing interactions between people and technologies that are functioning in the role of communicators, and for considering the theoretical and methodological implications of machines performing traditionally ‘human’ roles. This makes the Handbook the first of its kind, and a valuable resource for students and scholars across areas such as communication, media and information studies, and computer science, as well as for practitioners, engineers and researchers interested in the foundational elements of this emerging field. Part 1: Histories and Trajectories Part 2: Approaches and Methods Part 3: Concepts and Contexts Part 4: Technologies and Applications


How Data Happened: A History from the Age of Reason to the Age of Algorithms

How Data Happened: A History from the Age of Reason to the Age of Algorithms

Author: Chris Wiggins

Publisher: W. W. Norton & Company

Published: 2023-03-21

Total Pages: 289

ISBN-13: 1324006749

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“Fascinating.” —Jill Lepore, The New Yorker A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew L. Jones illuminate the ways in which data has long been used as a tool and a weapon in arguing for what is true, as well as a means of rearranging or defending power. They explore how data was created and curated, as well as how new mathematical and computational techniques developed to contend with that data serve to shape people, ideas, society, military operations, and economies. Although technology and mathematics are at its heart, the story of data ultimately concerns an unstable game among states, corporations, and people. How were new technical and scientific capabilities developed; who supported, advanced, or funded these capabilities or transitions; and how did they change who could do what, from what, and to whom? Wiggins and Jones focus on these questions as they trace data’s historical arc, and look to the future. By understanding the trajectory of data—where it has been and where it might yet go—Wiggins and Jones argue that we can understand how to bend it to ends that we collectively choose, with intentionality and purpose.


The Cultural Life of the Automobile

The Cultural Life of the Automobile

Author: Guillermo Giucci

Publisher: University of Texas Press

Published: 2012-05-24

Total Pages: 273

ISBN-13: 0292744552

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From its invention in Europe at the end of the nineteenth century, the automobile crisscrossed the world, completely took over the cities, and became a feature of daily life. Considered basic to the American lifestyle, the car reflected individualism, pragmatism, comfort, and above all modernity. In Latin America, it served as a symbol of distinction, similar to jewelry or fine clothing. In The Cultural Life of the Automobile, Guillermo Giucci focuses on the automobile as an instrument of social change through its “kinetic modernity” and as an embodiment of the tremendous social impact of technology on cultural life. Material culture—how certain objects generate a wide array of cultural responses—has been the focus of much scholarly discussion in recent years. The automobile wrought major changes and inspired images in language, literature, and popular culture. Focusing primarily on Latin America but also covering the United States, Europe, Asia, and Africa, Giucci examines how the automobile was variously adapted by different cultures and how its use shaped and changed social and economic relationships within them. At the same time, he shows how the “automobilization” of society became an essential support for the development of modern individualism, and the automobile its clearest material manifestation.


Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning

Author: Wang, John

Publisher: IGI Global

Published: 2023-01-20

Total Pages: 3296

ISBN-13: 1799892212

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Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.


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

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

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 Tensions of Algorithmic Thinking

The Tensions of Algorithmic Thinking

Author: David Beer

Publisher: Policy Press

Published: 2024-02-13

Total Pages: 152

ISBN-13: 1529212901

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In this pioneering book, David Beer redefines emergent algorithmic technologies as the new systems of knowing. He examines the acute tensions they create and how they are changing what is known and what is knowable.


The Democratization of Artificial Intelligence

The Democratization of Artificial Intelligence

Author: Andreas Sudmann

Publisher: transcript Verlag

Published: 2019-10-31

Total Pages: 335

ISBN-13: 3839447194

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After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?