2017
DOI: 10.7551/mitpress/10767.001.0001
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Heteromation, and Other Stories of Computing and Capitalism

Abstract: A rigorous theory of money, credit, and bankruptcy in the context of a mixed economy, uniting Walrasian general equilibrium with macroeconomic dynamics and Schumpeterian innovation.

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Cited by 174 publications
(112 citation statements)
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“…They emphasize how computational control of organization leads to a proceduralization, where bureaucratic supervision and legal rules are translated by sheer code in a kind of 'algocracy' (Aneesh, 2009). Furthermore, with interaction enabling algorithms to learn and for a kind of machine learning to be developed, robots and artificial intelligence are promising to replace human organization and labour, even if more realistically this will result in a kind of 'bounded automation' (Fleming, 2019) or 'heteromation' (Ekbia and Nardi, 2017).…”
Section: Media Organizementioning
confidence: 99%
“…They emphasize how computational control of organization leads to a proceduralization, where bureaucratic supervision and legal rules are translated by sheer code in a kind of 'algocracy' (Aneesh, 2009). Furthermore, with interaction enabling algorithms to learn and for a kind of machine learning to be developed, robots and artificial intelligence are promising to replace human organization and labour, even if more realistically this will result in a kind of 'bounded automation' (Fleming, 2019) or 'heteromation' (Ekbia and Nardi, 2017).…”
Section: Media Organizementioning
confidence: 99%
“…And while I have focused here on engineers like Brad, they are by no means the only people hidden within supposedly automatic systems. Scholars like Lilly Irani (2015), Sarah T. Roberts (2016), Hamid Ekbia and Bonnie Nardi (2017), and Mary Gray and Siddharth Suri (2017) point our attention to the underpaid and overworked people whose labor powers so‐called machine vision or the content moderators who keep obscene content out of our social media feeds. Being human within the machine is not a pleasurable or powerful experience for many of the people thus involved.…”
Section: Against the Analog Slotmentioning
confidence: 99%
“…Algorithms are also taking responsibility for other putatively cultural social functions, with the curation of taste (Seaver, forthcoming), the production of news media (Carlson 2015), medical diagnosis (Soni et al 2011), scientific discovery (Leonelli 2016), and pedagogical supervision (Williamson 2015) also all undergoing various forms of automation. Certainly, many of these systems keep humans in the loop, leading Ekbia and Nardi (2017) to argue elsewhere that the current trend ought to be labeled heteromation , rather than automation proper (cf. LaFlamme 2018).…”
mentioning
confidence: 99%