Description: Discriminating Data by Wendy Hui Kyong Chun, Alex Barnett "Chun investigates the centrality of race, gender, class, and sexuality to "Big Data" and network analytics"-- FORMAT Paperback CONDITION Brand New Publisher Description How big data and machine learning encode discrimination and create agitated clusters of comforting rage.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 datas 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. Author Biography Wendy Hui Kyong Chun is Simon Fraser Universitys Canada 150 Research Chair in New Media and Professor of Communication and Director of the SFU Digital Democracies Institute. She is the author of Control and Freedom, Programmed Visions, and Updating to Remain the Same, all published by the MIT Press.Alex Barnett is Group Leader for Numerical Analysis at the Center for Computational Mathematics at the Flatiron Institute in New York. He has published more than 50 research papers in scientific computing, differential equations, fluids, waves, imaging, physics, neuroscience, and statistics. Table of Contents Preface ixIntroduction: How to Destroy the World, One Solution at a Time 1Red Pill Toxicity, or Liberation Envy 291 Correlating Eugenics 35The Transgressive Hypothesis 752 Homophily, or the Swarming of the Segregated Neighborhood 813 Algorithmic Authenticity 139Correlating Ideology, or What Lies at the Surface 1734 Recognizing Recognition 185The Space Between Us 231Coda: Living in Difference 239Acknowledgments 255Notes 259References for Mathematical Illustrations 317Index 319 Details ISBN0262548526 Author Alex Barnett Pages 344 Publisher MIT Press Ltd Year 2024 Illustrator Alex Barnett ISBN-13 9780262548526 Format Paperback Publication Date 2024-03-05 Imprint MIT Press Subtitle Correlation, Neighborhoods, and the New Politics of Recognition Country of Publication United States AU Release Date 2024-03-05 NZ Release Date 2024-03-05 US Release Date 2024-03-05 UK Release Date 2024-03-05 DEWEY 005.7 Audience General Illustrations 69 BLACK AND WHITE ILLUS. ISBN-10 0262548526 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:158710573;
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