Artificial Whiteness

Author: Yarden Katz
Publisher: Columbia University Press
ISBN: 023155107X
Category : Social Science
Languages : en
Pages : 176

Book Description
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.

Intersectionality

Author: Patricia Hill Collins
Publisher: John Wiley & Sons
ISBN: 0745684521
Category : Social Science
Languages : en
Pages : 289

Book Description
The concept of intersectionality has become a hot topic in academic and activist circles alike. But what exactly does it mean, and why has it emerged as such a vital lens through which to explore how social inequalities of race, class, gender, sexuality, age, ability and ethnicity shape one another? In this new book Patricia Hill Collins and Sirma Bilge provide a much-needed, introduction to the field of intersectional knowledge and praxis. They analyze the emergence, growth and contours of the concept and show how intersectional frameworks speak to topics as diverse as human rights, neoliberalism, identity politics, immigration, hip hop, global social protest, diversity, digital media, Black feminism in Brazil, violence and World Cup soccer. Accessibly written and drawing on a plethora of lively examples to illustrate its arguments, the book highlights intersectionality's potential for understanding inequality and bringing about social justice oriented change. Intersectionality will be an invaluable resource for anyone grappling with the main ideas, debates and new directions in this field.

Algorithms of Oppression

Author: Safiya Umoja Noble
Publisher: NYU Press
ISBN: 1479837245
Category : Computers
Languages : en
Pages : 245

Book Description
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

The Whiteness of Wealth

Author: Dorothy A. Brown
Publisher: Crown
ISBN: 0525577335
Category : Social Science
Languages : en
Pages : 289

Book Description
A groundbreaking exposé of racism in the American taxation system from a law professor and expert on tax policy NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR AND FORTUNE • “Important reading for those who want to understand how inequality is built into the bedrock of American society, and what a more equitable future might look like.”—Ibram X. Kendi, #1 New York Times bestselling author of How to Be an Antiracist Dorothy A. Brown became a tax lawyer to get away from race. As a young black girl growing up in the South Bronx, she’d seen how racism limited the lives of her family and neighbors. Her law school classes offered a refreshing contrast: Tax law was about numbers, and the only color that mattered was green. But when Brown sat down to prepare tax returns for her parents, she found something strange: James and Dottie Brown, a plumber and a nurse, seemed to be paying an unusually high percentage of their income in taxes. When Brown became a law professor, she set out to understand why. In The Whiteness of Wealth, Brown draws on decades of cross-disciplinary research to show that tax law isn’t as color-blind as she’d once believed. She takes us into her adopted city of Atlanta, introducing us to families across the economic spectrum whose stories demonstrate how American tax law rewards the preferences and practices of white people while pushing black people further behind. From attending college to getting married to buying a home, black Americans find themselves at a financial disadvantage compared to their white peers. The results are an ever-increasing wealth gap and more black families shut out of the American dream. Solving the problem will require a wholesale rethinking of America’s tax code. But it will also require both black and white Americans to make different choices. This urgent, actionable book points the way forward.

The Future of Whiteness

Author: Linda Martín Alcoff
Publisher: John Wiley & Sons
ISBN: 0745685463
Category : Social Science
Languages : en
Pages : 200

Book Description
White identity is in ferment. White, European Americans living in the United States will soon share an unprecedented experience of slipping below 50% of the population. The impending demographic shifts are already felt in most urban centers and the effect is a national backlash of hyper-mobilized political, and sometimes violent, activism with a stated aim that is simultaneously vague and deadly clear: 'to take our country back.' Meanwhile the spectre of 'minority status' draws closer, and the material advantages of being born white are eroding. This is the political and cultural reality tackled by Linda Martín Alcoff in The Future of Whiteness. She argues that whiteness is here to stay, at least for a while, but that half of whites have given up on ideas of white supremacy, and the shared public, material culture is more integrated than ever. More and more, whites are becoming aware of how they appear to non-whites, both at home and abroad, and this is having profound effects on white identity in North America. The young generation of whites today, as well as all those who follow, will have never known a country in which they could take white identity as the unchallenged default that dominates the political, economic and cultural leadership. Change is on the horizon, and the most important battleground is among white people themselves. The Future of Whiteness makes no predictions but astutely analyzes the present reaction and evaluates the current signs of turmoil. Beautifully written and cogently argued, the book looks set to spark debate in the field and to illuminate an important area of racial politics.

An Introduction to Communication and Artificial Intelligence

Author: David J. Gunkel
Publisher: Polity
ISBN: 9781509533169
Category : Social Science
Languages : en
Pages : 320

Book Description
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.

Race After Technology

Author: Ruha Benjamin
Publisher: John Wiley & Sons
ISBN: 1509526439
Category : Social Science
Languages : en
Pages : 172

Book Description
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

Feeding the Other

Author: Rebecca T. De Souza
Publisher: MIT Press
ISBN: 0262352796
Category : Social Science
Languages : en
Pages : 313

Book Description
How food pantries stigmatize their clients through a discourse that emphasizes hard work, self help, and economic productivity rather than food justice and equity. The United States has one of the highest rates of hunger and food insecurity in the industrialized world, with poor households, single parents, and communities of color disproportionately affected. Food pantries—run by charitable and faith-based organizations—rather than legal entitlements have become a cornerstone of the government's efforts to end hunger. In Feeding the Other, Rebecca de Souza argues that food pantries stigmatize their clients through a discourse that emphasizes hard work, self help, and economic productivity rather than food justice and equity. De Souza describes this “framing, blaming, and shaming” as “neoliberal stigma” that recasts the structural issue of hunger as a problem for the individual hungry person. De Souza shows how neoliberal stigma plays out in practice through a comparative case analysis of two food pantries in Duluth, Minnesota. Doing so, she documents the seldom-acknowledged voices, experiences, and realities of people living with hunger. She describes the failure of public institutions to protect citizens from poverty and hunger; the white privilege of pantry volunteers caught between neoliberal narratives and social justice concerns; the evangelical conviction that food assistance should be “a hand up, not a handout”; the culture of suspicion in food pantry spaces; and the constraints on food choice. It is only by rejecting the neoliberal narrative and giving voice to the hungry rather than the privileged, de Souza argues, that food pantries can become agents of food justice.

The History of White People

Author: Nell Irvin Painter
Publisher: W. W. Norton & Company
ISBN: 039307949X
Category : History
Languages : en
Pages : 512

Book Description
A New York Times Bestseller This terrific new book…[explores] the ‘notion of whiteness,’ an idea as dangerous as it is seductive." —Boston Globe Telling perhaps the most important forgotten story in American history, eminent historian Nell Irvin Painter guides us through more than two thousand years of Western civilization, illuminating not only the invention of race but also the frequent praise of “whiteness” for economic, scientific, and political ends. A story filled with towering historical figures, The History of White People closes a huge gap in literature that has long focused on the non-white and forcefully reminds us that the concept of “race” is an all-too-human invention whose meaning, importance, and reality have changed as it has been driven by a long and rich history of events.

Discriminating Data

Author: Wendy Hui Kyong Chun
Publisher: MIT Press
ISBN: 0262046229
Category : Technology & Engineering
Languages : en
Pages : 341

Book Description
How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.