Artificial Culture is an examination of the articulation, construction, and representation of "the artificial" in contemporary popular cultural texts, especially science fiction films and novels. The book argues that today we live in an artificial culture due to the deep and inextricable relationship between people, our bodies, and technology at large. While the artificial is often imagined as outside of the natural order and thus also beyond the realm of humanity, paradoxically, artificial concepts are simultaneously produced and constructed by human ideas and labor. The artificial can thus act as a boundary point against which we as a culture can measure what it means to be human. Science fiction feature films and novels, and other related media, frequently and provocatively deploy ideas of the artificial in ways which the lines between people, our bodies, spaces and culture more broadly blur and, at times, dissolve. Building on the rich foundational work on the figures of the cyborg and posthuman, this book situates the artificial in similar terms, but from a nevertheless distinctly different viewpoint. After examining ideas of the artificial as deployed in film, novels and other digital contexts, this study concludes that we are now part of an artificial culture entailing a matrix which, rather than separating minds and bodies, or humanity and the digital, reinforces the symbiotic connection between identities, bodies, and technologies.

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.

Artificial Intelligence and Cultural Heritage represent a combination that for several years has interested both scientific and cultural institutions regarding the potential of possible interactions and aggregations among the various players in these areas. This volume defines roles and provides connections where research and new technologies can suggest routes and competitive solutions that integrate tourism and culture with business and the market. The volume is multidisciplinary, presenting and discussing a variety of new ideas, resulting from the integration of different scientific approaches. The papers brought together here deal with topics including the representation of cultural history, semantic digital archives, the use of analytic tools to support visitor interpretation, augmented reality, and robotics. As such, this book represents the detailed investigation of methodological and applicative aspects that the continued proliferation of computer applications in the cultural heritage field demands.

When it was first developed, the cochlear implant was hailed as a "miracle cure" for deafness. That relatively few deaf adults seemed to want it was puzzling. The technology was then modified for use with deaf children, 90 percent of whom have hearing parents. Then, controversy struck as the Deaf community overwhelmingly protested the use of the device and procedure. For them, the cochlear implant was not viewed in the context of medical progress and advances in the physiology of hearing, but instead represented the historic oppression of deaf people and of sign languages. Part ethnography and part historical study, The Artificial Ear is based on interviews with researchers who were pivotal in the early development and implementation of the new technology. Through an analysis of the scientific and clinical literature, Stuart Blume reconstructs the history of artificial hearing from its conceptual origins in the 1930s, to the first attempt at cochlear implantation in Paris in the 1950s, and to the widespread clinical application of the "bionic ear" since the 1980s.

This book offers an in-depth academic discourse on the convergence of AI, digital platforms, and popular culture, in order to understand the ways in which the platform and cultural industries have reshaped and developed AI-driven algorithmic cultural production and consumption. At a time of fundamental change for the media and cultural industries, driven by the emergence of big data, algorithms, and AI, the book examines how media ecology and popular culture are evolving to serve the needs of both media and cultural industries and consumers. The analysis documents global governments’ rapid development of AI-relevant policies and identifies key policy issues; examines the ways in which cultural industries firms utilize AI and algorithms to advance the new forms of cultural production and distribution; investigates change in cultural consumption by analyzing the ways in which AI, algorithms, and digital platforms reshape people’s consumption habits; and examines whether governments and corporations have advanced reliable public and corporate policies and ethical codes to secure socio-economic equality. Offering a unique perspective on this timely and vital issue, this book will be of interest to scholars and students in media studies, communication studies, anthropology, globalization studies, sociology, cultural studies, Asian studies, and science and technology studies (STS).

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.