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.

The Culture of AI
The Culture of AI

Author: Anthony Elliott

Publisher: Routledge

Published: 2019-01-15

Total Pages: 256

ISBN-13: 1315387166

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In this ground-breaking book, Cambridge-trained sociologist Anthony Elliott argues that much of what passes for conventional wisdom about artificial intelligence is either ill-considered or plain wrong. The reason? The AI revolution is not so much about cyborgs and super-robots in the future, but rather massive changes in the here-and-now of everyday life. In The Culture of AI, Elliott explores how intelligent machines, advanced robotics, accelerating automation, big data and the Internet of Everything impact upon day-to-day life and contemporary societies. With remarkable clarity and insight, Elliott’s examination of the reordering of everyday life highlights the centrality of AI to everything we do – from receiving Amazon recommendations to requesting Uber, and from getting information from virtual personal assistants to talking with chatbots. The rise of intelligent machines transforms the global economy and threatens jobs, but equally there are other major challenges to contemporary societies – although these challenges are unfolding in complex and uneven ways across the globe. The Culture of AI explores technological innovations from industrial robots to softbots, and from self-driving cars to military drones – and along the way provides detailed treatments of: The history of AI and the advent of the digital universe; automated technology, jobs and employment; the self and private life in times of accelerating machine intelligence; AI and new forms of social interaction; automated vehicles and new warfare; and, the future of AI. Written by one of the world’s foremost social theorists, The Culture of AI is a major contribution to the field and a provocative reflection on one of the most urgent issues of our time. It will be essential reading to those working in a wide variety of disciplines including sociology, science and technology studies, politics, and cultural studies.

Revolutionizing Education in the Age of AI and Machine Learning
Revolutionizing Education in the Age of AI and Machine Learning

Author: Habib, Maki K.

Publisher: IGI Global

Published: 2019-09-15

Total Pages: 278

ISBN-13: 1522577947

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Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.

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.