| 期刊全稱(chēng) | Automation and Autonomy | | 期刊簡(jiǎn)稱(chēng) | Labour, Capital and | | 影響因子2023 | James Steinhoff | | 視頻video | http://file.papertrans.cn/167/166488/166488.mp4 | | 發(fā)行地址 | Provides a multifaceted Marxist analysis (history, political economy, labour process) of work in the AI Industry.Conducts a detailed analysis of how AI is produced.Includes interviews conducted with w | | 學(xué)科分類(lèi) | Marx, Engels, and Marxisms | | 圖書(shū)封面 |  | | 影響因子 | .This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour a | | Pindex | Book 2021 |
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