| 書目名稱 | The Cultural Life of Machine Learning | | 副標(biāo)題 | An Incursion into Cr | | 編輯 | Jonathan Roberge,Michael Castelle | | 視頻video | http://file.papertrans.cn/908/907034/907034.mp4 | | 概述 | Offers an empirically-based discussion of machine learning and artificial intelligence technologies in society.Provides new histories of machine learning and artificial intelligence rooted in humaniti | | 圖書封面 |  | | 描述 | This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “l(fā)earning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research..Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Critical AI Studies; Machine Learning (ML); Artificial Intelligence (AI); Deep Neural Networks; Generati | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-56286-1 | | isbn_softcover | 978-3-030-56288-5 | | isbn_ebook | 978-3-030-56286-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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