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Author: Levi Checketts
Publisher: Fortress Press
ISBN: 1506482325
Category : Religion
Languages : en
Pages : 443
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Book Description
In recent years, artificial intelligence (AI) has moved in popular discourse from the purview of science-fiction imaginings to the key financial sector of the twenty-first century. As world powers, trillion-dollar companies, and public intellectuals emphasize the importance of AI, the general concerns people raise relate to economic movement, control, bias, and safety.?? This book adds a further concern, namely the way our approach to AI reinforces assumptions about dignity and personhood tied to the sort of thinking that is characteristic of bourgeois capitalists. The experience of poverty reveals that people who are poor do not think the same way as the upper classes--their experience of the world must be understood through the reality of survival within resource-scarce settings and the attendant domination and discrimination that come with being poor. These experiences do not fit well with the "ideal choice" selection model that underlies AI modeling, and numerous failures of AI to help the poor demonstrate that those who benefit primarily from AI are those who already live well.?? As a result, the fervor surrounding AI often serves to dehumanize the poor by eliminating employment opportunities, automating social work, reinforcing biases, and prioritizing profit over stability. Worst of all, however, AI functions to satisfy a psychological need for us to have "others" against whom we can distinguish ourselves without having to feel guilty about the reality of the struggle of the poor. Taking seriously the theological perspective of the "preferential option for the poor," this work contends that to avoid relegating poor people to nonhuman status, we must be willing to put aside the fantasy that AI is "intelligent" and focus rather on the all-too-human embodied reality of the poor.
Author: Virginia Eubanks
Publisher: St. Martin's Press
ISBN: 1466885963
Category : Social Science
Languages : en
Pages : 273
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Book Description
WINNER: The 2019 Lillian Smith Book Award, 2018 McGannon Center Book Prize, and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Dorothy Roberts, author of Killing the Black Body: "A must-read." A powerful investigative look at data-based discrimination?and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.
Author: Alethia Jones
Publisher: State University of New York Press
ISBN: 1438451164
Category : Social Science
Languages : en
Pages : 356
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Book Description
Silver Winner, 2014 ForeWord IndieFab Book of the Year Award in the Women's Studies Category 2015 Lambda Literary Award in Lesbian Memoir/Biography presented by the Lambda Literary Foundation 2015 Judy Grahn Award for Lesbian Nonfiction presented by the Publishing Triangle As an organizer, writer, publisher, scholar-activist, and elected official, Barbara Smith has played key roles in multiple social justice movements, including Civil Rights, feminism, lesbian and gay liberation, anti-racism, and Black feminism. Her four decades of grassroots activism forged collaborations that introduced the idea that oppression must be fought on a variety of fronts simultaneously, including gender, race, class, and sexuality. By combining hard-to-find historical documents with new unpublished interviews with fellow activists, this book uncovers the deep roots of today's "identity politics" and "intersectionality" and serves as an essential primer for practicing solidarity and resistance.
Author: Ruha Benjamin
Publisher: John Wiley & Sons
ISBN: 1509526439
Category : Social Science
Languages : en
Pages : 172
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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
Author: Lukas Schlogl
Publisher: Springer Nature
ISBN: 3030301311
Category : Social Science
Languages : en
Pages : 108
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Book Description
This open access book examines the future of inequality, work and wages in the age of automation with a focus on developing countries. The authors argue that the rise of a global ‘robot reserve army’ has profound effects on labor markets and economic development, but, rather than causing mass unemployment, new technologies are more likely to lead to stagnant wages and premature deindustrialization. The book illuminates the debate on the impact of automation upon economic development, in particular issues of poverty, inequality and work. It highlights public policy responses and strategies–ranging from containment to coping mechanisms—to confront the effects of automation.
Author: Joe Toscano
Publisher: powerHouse Books
ISBN: 1576879208
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
Automating Humanity is the shocking and eye-opening new manifesto from international award-winning designer Joe Toscano that unravels and lays bare the power agendas of the world's greatest tech titans in plain language, and delivers a fair warning to policymakers, civilians, and industry professionals alike: we need a strategy for the future, and we need it now. Automating Humanity is an insider's perspective on everything Big Tech doesn't want the public to know-or think about-from the addictions installed on a global scale to the profits being driven by fake news and disinformation, to the way they're manipulating the world for profit and using our data to train systems that will automate jobs at an explosive, unprecedented scale. Toscano provides a critique of modern regulation, including parts of the new European Union's General Data Proctection Regulation (GDPR) suggesting how we can create proactive, adaptable regulation that satisfies both the needs of consumer safety and commercial success in the international economy. The content touches on everything from technology, economics, and public policy to psychology, history, and ethics, and is written in a way that is accessible to everyone from the average reader to the technical expert.
Author: Levi Checketts
Publisher: Fortress Press
ISBN: 1506482325
Category : Religion
Languages : en
Pages : 443
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Book Description
In recent years, artificial intelligence (AI) has moved in popular discourse from the purview of science-fiction imaginings to the key financial sector of the twenty-first century. As world powers, trillion-dollar companies, and public intellectuals emphasize the importance of AI, the general concerns people raise relate to economic movement, control, bias, and safety.?? This book adds a further concern, namely the way our approach to AI reinforces assumptions about dignity and personhood tied to the sort of thinking that is characteristic of bourgeois capitalists. The experience of poverty reveals that people who are poor do not think the same way as the upper classes--their experience of the world must be understood through the reality of survival within resource-scarce settings and the attendant domination and discrimination that come with being poor. These experiences do not fit well with the "ideal choice" selection model that underlies AI modeling, and numerous failures of AI to help the poor demonstrate that those who benefit primarily from AI are those who already live well.?? As a result, the fervor surrounding AI often serves to dehumanize the poor by eliminating employment opportunities, automating social work, reinforcing biases, and prioritizing profit over stability. Worst of all, however, AI functions to satisfy a psychological need for us to have "others" against whom we can distinguish ourselves without having to feel guilty about the reality of the struggle of the poor. Taking seriously the theological perspective of the "preferential option for the poor," this work contends that to avoid relegating poor people to nonhuman status, we must be willing to put aside the fantasy that AI is "intelligent" and focus rather on the all-too-human embodied reality of the poor.
Author: Josh Simons
Publisher: Princeton University Press
ISBN: 0691244006
Category : Computers
Languages : en
Pages : 320
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Book Description
How to put democracy at the heart of AI governance Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy.
Author: Anthony McCosker
Publisher: Routledge
ISBN: 1000061086
Category : Computers
Languages : en
Pages : 153
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Book Description
Automating Vision explores the rise of seeing machines through four case studies: facial recognition, drone vision, mobile and locative media and driverless cars. Proposing a conceptual lens of camera consciousness, which is drawn from the early visual anthropology of Gregory Bateson and Margaret Mead, Automating Vision accounts for the growing power and value of camera technologies and digital image processing. Behind the smart camera devices examined throughout the book lies a set of increasingly integrated and automated technologies underpinned by artificial intelligence, machine learning and image processing. Seeing machines are now implicated in growing visual data markets and are supported by emerging layers of infrastructure that they coproduce. In this book, Anthony McCosker and Rowan Wilken address the social impacts, the disruptions and reconfigurations to existing digital media ecosystems, to urban environments and to mobility and social relations that result from the increasing automation of vision and explore how it might be possible to ensure a safe and equitable future as we learn to see with and negotiate the interventions of seeing machines. This book will appeal to students and scholars in media, communication, cultural studies, sociology of media and science and technology studies. More resources for the book can be found at https://www.anthonymccosker.com/automating-vision.
Author: Precarity Lab
Publisher: MIT Press
ISBN: 1912685728
Category : Social Science
Languages : en
Pages : 127
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Book Description
An analysis that traces the role of digital technology in multiplying precarity. Technoprecarious advances a new analytic for tracing how precarity unfolds across disparate geographical sites and cultural practices in the digital age. Digital technologies--whether apps like Uber built on flexible labor or platforms like Airbnb that shift accountability to users--have assisted in consolidating the wealth and influence of a small number of players. These platforms have also furthered increasingly insecure conditions of work and life for racial, ethnic, and sexual minorities, women, indigenous people, migrants, and peoples in the global south. At the same time, precarity has become increasingly generalized, expanding to include even the creative class and digital producers themselves.
Author: Neil Thurman
Publisher: Routledge
ISBN: 1000384373
Category : Language Arts & Disciplines
Languages : en
Pages : 216
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Book Description
This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.
