- Main
- Computers - Computer Science
- Pattern Discrimination
Pattern Discrimination
Clemens Apprich, Wendy Hui Kyong Chun, Florian Cramer, Hito SteyerlНасколько вам понравилась эта книга?
Какого качества скаченный файл?
Скачайте книгу, чтобы оценить ее качество
Какого качества скаченные файлы?
How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them?
How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection.
Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?
How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection.
Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?
Категории:
Год:
2018
Издание:
Paperback
Издательство:
Meson Press, University of Minnesota Press
Язык:
english
Страницы:
144
ISBN 10:
1517906458
ISBN 13:
9781517906450
Файл:
PDF, 2.19 MB
Ваши теги:
IPFS:
CID , CID Blake2b
english, 2018
В течение 1-5 минут файл будет доставлен на ваш email.
В течение 1-5 минут файл будет доставлен на ваш Telegram аккаунт.
Внимание: Убедитесь, что вы привязали свой аккаунт к Z-Library Telegram боту.
В течение 1-5 минут файл будет доставлен на ваше Kindle устройство.
Примечание: вам необходимо верифицировать каждую книгу, которую вы отправляете на Kindle. Проверьте ваш электронный почтовый ящик на наличие письма с подтверждением от Amazon Kindle Support.
Выполняется конвертация в
Конвертация в не удалась
Преимущества премиум статуса
- Отправляйте на электронные читалки
- Увеличенный лимит скачивания
- Конвертируйте файлы
- Больше результатов поиска
- Другие преимущества