Topics may range from algorithmic systems (social media platforms, risk assessment tools, facial recognition, financial algorithms, etc.) to non-algorithmic ways of sorting and evaluating people and things (Yelp!, IQ tests, SAT tests, debates around identity-sorting mechanisms such as race and gender, and so on). The academic texts from this unit include the following:
O’Neill (2016). “Introduction” and “Bomb parts: What is a model?” pp. 1–32 in Weapons of Math Destruction. New York: Broadway books.
Tarleton Gillespie (2016). “Algorithm,” in Ben Peters (ed.) Digital Keywords. Princeton: Princeton University Press.
Massimo Mazzotti (2017). “Algorithmic life,” Los Angeles Review of Books, January 22.
Langdon Winner (1980). “Do artifacts have politics?” Daedalus, 109 (1): 121–136.
Ian Hacking (2006). “Making up people,” London Review of Books, August 17.
Nick Seaver (2012). “Algorithmic recommendations and synaptic functions,” Limn.
Marion Fourcade (2016), “Ordinalization,” Sociological Theory, 34(3): 175–195.
John Cheney-Lippold (2017). “Categorization: Making data useful,” pp. 37–93 in We Are Data: Algorithms and the Makings of Our Digital Selves. New York: NYU Press.
Kate Crawford and Trevor Paglen (2019), “Excavating AI: The Politics of Training Sets for Machine Learning,” AI Now Research Institute, September 19.
Os Keyes (2019). “Counting the countless,” Real Life, April 8.
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