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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.
Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way. This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans. The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.
Abortion has remained one of the most volatile and polarizing issues in the United States for over four decades. Americans are more divided today than ever over abortion, and this debate colors the political, economic, and social dynamics of the country. This book provides a balanced, clear-eyed overview of the abortion debate, including the perspectives of both the pro-life and pro-choice movements. It covers the history of the debate from colonial times to the present, the mobilization of mass movements around the issue, the ways it is understood by ordinary Americans, the impact it has had on US political development, and the differences between the abortion conflict in the US and the rest of the world. Throughout these discussions, Ziad Munson demonstrates how the meaning of abortion has shifted to reflect the changing anxieties and cultural divides which it has come to represent. Abortion Politics is an invaluable companion for exploring the abortion issue and what it has to say about American society, as well as the dramatic changes in public understanding of women’s rights, medicine, religion, and partisanship.
The far right is back with a vengeance. After several decades at the political margins, far-right politics has again taken center stage. Three of the world’s largest democracies – Brazil, India, and the United States – now have a radical right leader, while far-right parties continue to increase their profile and support within Europe. In this timely book, leading global expert on political extremism Cas Mudde provides a concise overview of the fourth wave of postwar far-right politics, exploring its history, ideology, organization, causes, and consequences, as well as the responses available to civil society, party, and state actors to challenge its ideas and influence. What defines this current far-right renaissance, Mudde argues, is its mainstreaming and normalization within the contemporary political landscape. Challenging orthodox thinking on the relationship between conventional and far-right politics, Mudde offers a complex and insightful picture of one of the key political challenges of our time.
Sociology, as a discipline, was born at the height of global colonialism and imperialism. Over a century later, it is yet to shake off its commitment to colonial ways of thinking. This book explores why, and how, sociology needs to be decolonized. It analyses how sociology was integral in reproducing the colonial order, as dominant sociologists constructed theories either assuming or proving the supposed barbarity and backwardness of colonized people. Ali Meghji reveals how colonialism continues to shape the discipline today, dominating both social theory and the practice of sociology, how exporting the Eurocentric sociological canon erased social theories from the Global South, and how sociologists continue to ignore the relevance of coloniality in their work. This guide will be necessary reading for any student or proponent of sociology. In opening up the work of other decolonial advocates and under-represented thinkers to readers, Meghji offers key suggestions for what teachers and students can do to decolonize sociology. With curriculum reform, innovative teaching and a critical awareness of these issues, it is possible to make sociology more equitable on a global scale.
Winner, 2019 William J. Goode Book Award, given by the Family Section of the American Sociological Association Finalist, 2019 C. Wright Mills Award, given by the Society for the Study of Social Problems Riveting stories of how affluent, white children learn about race American kids are living in a world of ongoing public debates about race, daily displays of racial injustice, and for some, an increased awareness surrounding diversity and inclusion. In this heated context, sociologist Margaret A. Hagerman zeroes in on affluent, white kids to observe how they make sense of privilege, unequal educational opportunities, and police violence. In fascinating detail, Hagerman considers the role that they and their families play in the reproduction of racism and racial inequality in America. White Kids, based on two years of research involving in-depth interviews with white kids and their families, is a clear-eyed and sometimes shocking account of how white kids learn about race. In doing so, this book explores questions such as, “How do white kids learn about race when they grow up in families that do not talk openly about race or acknowledge its impact?” and “What about children growing up in families with parents who consider themselves to be ‘anti-racist’?” Featuring the actual voices of young, affluent white kids and what they think about race, racism, inequality, and privilege, White Kids illuminates how white racial socialization is much more dynamic, complex, and varied than previously recognized. It is a process that stretches beyond white parents’ explicit conversations with their white children and includes not only the choices parents make about neighborhoods, schools, peer groups, extracurricular activities, and media, but also the choices made by the kids themselves. By interviewing kids who are growing up in different racial contexts—from racially segregated to meaningfully integrated and from politically progressive to conservative—this important book documents key differences in the outcomes of white racial socialization across families. And by observing families in their everyday lives, this book explores the extent to which white families, even those with anti-racist intentions, reproduce and reinforce the forms of inequality they say they reject.
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide: www.dropbox.com
By making available the almost unlimited energy stored in prehistoric plant matter, coal enabled the industrial age – and it still does. Coal today generates more electricity worldwide than any other energy source, helping to drive economic growth in major emerging markets. And yet, continued reliance on this ancient rock carries a high price in smog and greenhouse gases. We use coal because it is cheap: cheap to scrape from the ground, cheap to move, cheap to burn in power plants with inadequate environmental controls. In this book, Mark Thurber explains how coal producers, users, financiers, and technology exporters drive this supply chain, while fragmented environmental movements battle for full incorporation of environmental costs into the global calculus of coal. Delving into the politics of energy versus the environment at local, national, and international levels, Thurber paints a vivid picture of the multi-faceted challenges associated with continued coal production and use in the twenty-first century.
This book is the first to examine the history of imaginative thinking about intelligent machines, featuring contributions from leading humanities and social science scholars who detail the narratives about artificial intelligence (AI) that in turn offer a crucial epistemic site for exploring contemporary debates about these powerful technologies.
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."