Amrute, S. (2020). Bored Techies Being Casually Racist: Race as Algorithm. Science, Technology, & Human Values, 45(5), 903–933.

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Contributed date

September 14, 2020 - 12:21pm

Critical Commentary

AO: This paper seems relevant to read in preparation for our macro chapter as it focuses on the racialization of Indian software engineers in the US and Germany. Does Amrute's concept of "race-as-algorithm" hold in the Nairobi context and help to explain the digitcal economy in Nai? What is similar and different about the contexts Amrute studies vs Nairobi tech?

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Abstract:

"Connecting corporate software work in the United States and Germany, this essay tracks the racialization of mostly male Indian software engineers through the casualization of their labor. In doing so, I show the connections between overt, anti-immigrant violence today and the ongoing use of race to sediment divisions of labor in the industry as a whole. To explain racialization in the tech industry, I develop the concept of race-as-algorithm as a device to unpack how race is made productive within digital economies and to show the flexibility of race as it works to create orders of classification that are sensitive to context. Using evidence collected through observation in tech offices and through interviews with programmers over five years, I track race as an essential but continually disavowed variable within the construction of global tech economies. Historical racializations of casual labor in plantation economies illuminates how casualness marks laborers whose rights can be muted and allows corporations to deny their culpability in promoting discrimination within and outside of the tech industry. These denials occur across a political field that divides “good” from “bad” migrants. Using the ethnographic symptoms that Indian tech workers identify in their environments, this essay reads these signs as an antidote to these continued denials."

Source

Amrute, S. (2020). Bored Techies Being Casually Racist: Race as Algorithm. Science, Technology, & Human Values, 45(5), 903–933. https://doi.org/10.1177/0162243920912824

Group Audience